The Pransky interview: Jack Morrison, CEO and Co-Founder, Scythe Robotics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
Dynamic Range ◽  
Industrial Robot ◽  
High Dynamic Range ◽  
Worker Safety ◽  
Labor Costs ◽  
George Washington ◽  
Content Type ◽  
Innovative Company ◽  
Bachelor Of Arts

Purpose The purpose of this paper is to provide a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned entrepreneur regarding his pioneering efforts in starting robotic companies and commercializing technological inventions. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Jack Morrison, CEO and Co-Founder, Scythe Robotics. Morrison shares how he and his co-founders started this innovative company, the milestones and challenges he’s faced and his long-term goals. Findings Morrison received Bachelor of Arts degrees in Computer Science and German from Bowdoin College. He attended The George Washington University as a PhD student in Computer Science but left to co-found Replica Labs, a producer of software that turns any mobile phone into a high-quality 3D scanner. Morrison served as Replica’s CTO until it was acquired by Occipital in 2016, where he stayed on as a computer vision engineer until co-founding Scythe Robotics in April 2018. Originality/value While mowing his lawn in Colorado, Jack Morrison had a sudden insight: what if he could apply the latest robotics technology he was so familiar with to the challenge of commercialized landscaping? In 2018, Morrison teamed up with Replica Labs co-founder Isaac Roberts and Occipital’s Davis Foster, to create Scythe Robotics, a company that builds autonomous robotics solutions for the $105bn commercial landscaping industry. In June 2021, Scythe Robotics emerged from stealth with over $18m in funding with its first commercial product: a transformational, all-electric, fully autonomous mower designed to keep crew productivity high while also increasing the quality of cut and worker safety. The machine features eight high dynamic range cameras and a suite of other sensors that enable it to operate safely in dynamic environments by identifying and responding to the presence of humans, animals and other potential obstacles. Simultaneously, the machine captures valuable property and mower performance data, which helps landscape contractors improve workflow, identify upsell opportunities, schedule more efficiently and manage labor costs. The all-electric powertrain is quiet, emissions-free and radically more reliable than gas-powered manual mowers. Scythe Robotics’ business model is based on Robot as a Service. Instead of buying machines outright, customers are billed by acres mowed. This massively reduces contractors’ expenses and eliminates substantial costs. Scythe Robotics is headquartered in Boulder, Colorado and has offices in Vero Beach, FL and Austin, TX. Scythe is the recipient of the 2020 ALCC (Associated Landscape Contractors CO) Innovation Winner and the 2021 Colorado OEDIT Advanced Industries Grantee.

The Pransky interview: Dr Yoky Matsuoka, Vice President Technology, Nest Labs

2014 ◽  
Vol 41 (6) ◽  
pp. 481-486
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
Mechanical Engineering ◽  
Academic Career ◽  
Industrial Robot ◽  
Vice President ◽  
Early Career ◽  
Smoke Detector ◽  
Foundation Engineering ◽  
Content Type ◽  
The University

Purpose – This article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach – The interviewee is Dr Yoky Matsuoka, the Vice President of Nest Labs. Matsuoka describes her career journey that led her from a semi-professional tennis player who wanted to build a robot tennis buddy, to a pioneer of neurobotics who then applied her multidisciplinary research in academia to the development of a mass-produced intelligent home automation device. Findings – Dr Matsuoka received a BS degree from the University of California, Berkeley and an MS and PhD in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT). She was also a Postdoctoral Fellow in the Brain and Cognitive Sciences at MIT and in Mechanical Engineering at Harvard University. Dr Matsuoka was formerly the Torode Family Endowed Career Development Professor of Computer Science and Engineering at the University of Washington (UW), Director of the National Science Foundation Engineering Research Center for Sensorimotor Neural Engineering and Ana Loomis McCandless Professor of Robotics and Mechanical Engineering at Carnegie Mellon University. In 2010, she joined Google X as one of its three founding members. She then joined Nest as VP of Technology. Originality/value – Dr Matsuoka built advanced robotic prosthetic devices and designed complementary rehabilitation strategies that enhanced the mobility of people with manipulation disabilities. Her novel work has made significant scientific and engineering contributions in the combined fields of mechanical engineering, neuroscience, bioengineering, robotics and computer science. Dr Matsuoka was awarded a MacArthur Fellowship in which she used the Genius Award money to establish a nonprofit corporation, YokyWorks, to continue developing engineering solutions for humans with physical disabilities. Other awards include the Emerging Inventor of the Year, UW Medicine; IEEE Robotics and Automation Society Early Academic Career Award; Presidential Early Career Award for Scientists and Engineers; and numerous others. She leads the development of the learning and control technology for the Nest smoke detector and Thermostat, which has saved the USA hundreds of billions of dollars in energy expenses. Nest was sold to Google in 2013 for a record $3.2 billion dollars in cash.

The Pransky interview: Dr Nabil Simaan, Vanderbilt University Professor of Mechanical Engineering, Computer Science and Otolaryngology, Thought Leader in Medical Robotics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
Mechanical Engineering ◽  
Single Port ◽  
Industrial Robot ◽  
Medical Robotics ◽  
Surgical Robotics ◽  
Robotic Systems ◽  
Content Type ◽  
Thought Leader ◽  
Vanderbilt University

Purpose The following article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD and innovator regarding his pioneering efforts. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Nabil Simaan, Professor of Mechanical Engineering, Computer Science and Otolaryngology at Vanderbilt University. He is also director of Vanderbilt’s Advanced Robotics and Mechanism Applications Research Laboratory. In this interview, Simaan shares his unique perspective and approaches on his journey of trying to solve real-world problems in the medical robotics area. Findings Simaan received his BSc, MSc and PhD in mechanical engineering from the Technion – Israel Institute of Technology. He served as Postdoctoral Research Scientist in Computer Science at Johns Hopkins University. In 2005, he joined Columbia University, New York, NY, as an Assistant Professor of Mechanical Engineering until 2010, when he joined Vanderbilt. His current applied research interests include synthesis of novel robotic systems for surgical assistance in confined spaces with applications to minimally invasive surgery of the throat, natural orifice surgery, cochlear implant surgery and dexterous bimanual microsurgery. Theoretical aspects of his research include robot design and kinematics. Originality/value Dr Simaan is a leading pioneer on designing robotic systems and mechanisms for medical applications. Examples include technologies for snake robots licensed to Intuitive Surgical; technologies for micro-surgery of the retina, which led to the formation of AURIS Surgical Robotics; the insertable robotic effector platform (IREP) single-port surgery robot that served as the research prototype behind the Titan Medical Inc. Sport (Single Port Orifice Robotic Technology). Simaan received the NSF Career award for young investigators to design new algorithms and robots for safe interaction with the anatomy. He has served as the Editor for IEEE International Conference on Robotics and Automation, Associate Editor for IEEE Transactions on Robotics, Editorial Board Member of Robotica, Area Chair for Robotics Science and Systems and corresponding Co-chair for the IEEE Technical Committee on Surgical Robotics. In January 2020, he was bestowed the award of Institute of Electrical and Electronics Engineers (IEEE) Fellow for Robotics Advancements. At the end of 2020, he was named a top voice in health-care robotics by technology discovery platform InsightMonk and market intelligence firm BIS Research. Simaan holds 15 patents. A producer of human capital, his education goal is to achieve the best possible outcome with every student he works with.

The Pransky interview: Dr Ken Goldberg, Professor, Industrial Engineering and Operations Research, UC Berkeley; Inventor and Artist

2019 ◽  
Vol 46 (2) ◽  
pp. 188-191
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
San Francisco ◽  
Operations Research ◽  
Industrial Robot ◽  
Electrical Engineering ◽  
Medical Robotics ◽  
Industrial Engineering ◽  
Science And Engineering ◽  
Content Type ◽  
The University

Purpose The following article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business, and personal experience of a prominent, robotic industry PhD and inventor regarding his pioneering efforts and the commercialization of bringing a technological invention to market. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Ken Goldberg, an inventor working at the intersection of art, robotics, and social media. He joined the UC Berkeley faculty in 1995 where he is the UC Berkeley William S. Floyd Jr Distinguished Chair in Engineering and recently served as Chair of the Industrial Engineering and Operations Research Department. He has secondary appointments in UC Berkeley’s Electrical Engineering/Computer Science, Art Practice and the School of Information. Goldberg also holds an appointment at the UC San Francisco Medical School’s Department of Radiation Oncology where he pursues research in medical robotics. Goldberg is Director of the CITRIS “People and Robots” Initiative and the UC Berkeley’s Laboratory for Automation Science and Engineering (AUTOLAB) where he and his students research machine learning for robotics and automation in warehouses, homes, and operating rooms. In this interview, Goldberg shares some of his personal and business perspectives from his career-long pursuit of making robots less clumsy. Findings Goldberg earned dual BS degrees in Electrical Engineering and Economics from the University of Pennsylvania in 1984, and MS and PhD degrees in Computer Science from Carnegie Mellon University in 1990. Goldberg also studied at Edinburgh University and the Technion. From 1991-95 he taught at the University of Southern California, and in fall 2000, he was visiting faculty at the MIT Media Lab. Goldberg and his students pursue research in three primary areas: Geometric Algorithms for Automation, Cloud Robotics, and Robot Learning. Originality/value Goldberg developed the first complete algorithms for part feeding and part fixturing, and developed the first robot on the Internet. His inventions have been awarded nine US Patents. Goldberg has published over 250 peer-reviewed technical papers and edited four books. He co-founded and served as Editor-in-Chief of the IEEE Transactions on Automation Science and Engineering (T-ASE). He is also Co-Founder of the Berkeley AI Research (BAIR) Lab, the Berkeley Center for New Media (BCNM), the African Robotics Network (AFRON), the Center for Automation and Learning for Medical Robotics (CAL-MR), the CITRIS Data and Democracy Initiative (DDI), Hybrid Wisdom Labs, and Moxie Institute. He has presented over four hundred keynote and invited lectures. Goldberg's artwork, closely linked with his research, has appeared in over seventy venues. Ken was awarded the Presidential Faculty Fellowship in 1995 by Bill Clinton, the Joseph Engelberger Robotics Award in 2000, elected IEEE Fellow in 2005, and selected by the IEEE Robotics and Automation Society for the George Saridis Leadership Award in 2016.

The Pransky interview: Dr Steve Cousins, CEO, Savioke, Entrepreneur and Innovator

2016 ◽  
Vol 43 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
Open Source ◽  
Industrial Robot ◽  
Chief Executive ◽  
Research Center ◽  
Information Technology Industry ◽  
Content Type ◽  
Track Record ◽  
Systems Research ◽  
A Company

Purpose – The following paper is a “Q & A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned successful business leader, regarding the commercialization and challenges of bringing technological inventions to market while overseeing a company. The paper aims to discuss these issues. Design/methodology/approach – The interviewee is Dr Steve Cousins, a seasoned executive, entrepreneur and innovator with a strong track record for managing research and development organizations and realizing a significant return on investment. Dr Cousins has dedicated the past near-decade of his life to the mission of building and deploying personal and service robotic technology to assist people. In this interview, Dr Cousins discusses some of the technical and business insights that have led to his most recent robotic advancements as Chief Executive Officer (CEO) of Savioke, a company that is creating autonomous robot helpers for the services industry. Findings – Dr Cousins received his BS and MS degrees in computer science from Washington University, and holds a PhD in computer science from Stanford University. Dr Cousins managed the Advanced Systems Development Laboratory at the Xerox Palo Alto Research Center (PARC) and then went on to lead the IBM Almaden Research Center, one of the top human–computer interaction research groups in the world, as the Senior Manager of the User-Focused Systems Research Group. While at IBM, Dr Cousins earned a micro-MBA. Originality/value – Dr Cousins is spearheading a new business model for robotics, Robots as a Service (RaaS), with Savioke’s flagship mobile robot, Relay. Based on the information technology industry service trend of improving customer experiences, Savioke is successfully applying RaaS to the hospitality industry with about 10 Relays at half a dozen US major hotels. Before founding Savioke, Dr Cousins was the President and CEO of Willow Garage, where he oversaw the creation of the robot operating system (ROS), the PR2 robot and the open-source TurtleBot. In the last three years of his tenure at Willow Garage, Dr Cousins spun off eight successful companies: Suitable Technologies (maker of the Beam remote presence system); Industrial Perception, Inc. (acquired by Google in 2013); Redwood Robotics (acquired by Google in 2013); HiDOF (ROS and robotics consulting); Unbounded Robotics; The Open Source Robotics Foundation; The OpenCV Foundation; and The Open Perception Foundation. Dr Cousins is an active participant in the Robots for Humanity project.

The Pransky interview: Dr Howie Choset, CTO, Advanced Robotics for Manufacturing Institute; Professor, Carnegie Mellon; snake robotics inventor and entrepreneur

2017 ◽  
Vol 44 (5) ◽  
pp. 571-574 ◽  
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
Technology Development ◽  
Applied Mathematics ◽  
Industrial Robot ◽  
Modular Robots ◽  
Content Type ◽  
Bachelor Of Science ◽  
Founding Editor ◽  
Advanced Robotics

Purpose The following paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned-entrepreneur regarding the commercialization and challenges of bringing a technological invention to market. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Howie Choset, Chief Technical Officer at the Advanced Robotics for Manufacturing Institute and Professor of Robotics at Carnegie Mellon University (CMU). Motivated by applications in confined spaces, Dr Choset created a comprehensive program in modular, high degree(s) of freedom (DOF) and multirobot systems. This research led Dr Choset to cofound three companies. In this interview, Dr Choset shares some of his personal and business experiences of working in academia and industry. Findings Dr Choset received his Bachelor of Science, Engineering (BSE) degree in computer science and his Bachelor of Science, Economics (BSEcon) degree in business from the University of Pennsylvania in 1990. Dr Choset received his Masters and PhD from Caltech in mechanical engineering and robotics in 1991 and 1996. Since 1996, Dr Choset has been a Professor of Robotics at CMU and Director of the CMU Biorobotics Lab. He is also the Director of CMU’s undergraduate major and minor of Robotics. Along with his students, Choset formed several companies including Medrobotics (2005) for surgical systems; Hebi Robotics (2014) for modular robots; and Bito Robotics (2017) for autonomous guided vehicles. In 2017, Choset co-led the formation of the Advanced Robotics for Manufacturing Institute, which is a $250m national institute advancing both technology development and education for robotics in manufacturing. Choset is a founding editor of the journal Science Robotics and is currently serving on the editorial board of International Journal Robotics Research. Originality/value Motivated by collaborating with his students and colleagues, Dr Choset continues to make fundamental contributions in design, motion planning, path planning and estimation with the goal of bringing the precision of computer science and applied mathematics to the realities and uncertainties of mechanical systems. Choset’s work has been supported by both industry and government. Medrobotics Corp., a medical robotics company based on Choset’s snake robots, has received US Food and Drug Administration (FDA) regulatory clearance for both colorectal and otolaryngology procedures in the USA.

The Pransky interview: Professor Robin R. Murphy, Co-founder of the Field of Disaster Robotics and Founder of Roboticists Without Borders

2018 ◽  
Vol 45 (5) ◽  
pp. 591-596
Author(s):  
Joanne Pransky
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Industrial Robot ◽  
South Florida ◽  
Human Robot Interaction ◽  
Search And Rescue ◽  
Georgia Tech ◽  
Content Type ◽  
Field Robotics ◽  
Rescue Robots

Purpose This paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned successful innovator and leader regarding the challenges of bringing technological discoveries to fruition. This paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Robin R. Murphy, Raytheon Professor of Computer Science and Engineering, Texas A&M University; Co-lead, Emergency Informatics EDGE Innovation Network Center, Texas A&M, Director of the Humanitarian Robotics and AI Laboratory and Vice President of the Center for Robot-Assisted Search and Rescue (CRASAR) http://crasar.org. In this interview, Dr Murphy provides answers to questions regarding her pioneering experiences in rescue robotics. Findings As a child, Dr Murphy knew she wanted to be a mechanical engineer and obtained her BME degree from Georgia Institute of Technology (Georgia Tech). While working in industry after her BME, she fell in love with computer science and received an MS and PhD in Computer Science at Georgia Tech where she was a Rockwell International Doctoral Fellow. In the mid-1990s, while teaching at the Colorado School of Mines, she pioneered rescue robots after one of her graduate students returned from the Oklahoma City bombing and suggested that small rescue robots should be developed for future disasters. The National Science Foundation awarded Murphy and her students the first grant for search-and-rescue robots. She has since assisted in responses at more than 20 worldwide disasters, including Hurricane Katrina, the Crandall Canyon Mine collapse, the Tohoku Tsunami and the Fukushima Daiichi nuclear accident. Originality/value The response to the World Trade Center attacks after September 11, 2001 by Dr Murphy’s team from the University of South Florida (the only academic institution), along with four other teams brought together by CRASAR, marked the first recorded use of a rescue robot at a disaster site. In addition to being a founder in the field of rescue robots, she is also a founder in the field of human–robot interaction and the Roboticists Without Borders. She has written over 100 publications and three books: the best-selling textbook, Introduction to AI Robotics, Disaster Robotics and Robotics-Through-Science-Fiction: Artificial Intelligence Explained Six Classic Robot Short Stories. Dr Murphy has received approximately 20 national awards and honors including: the AUVSI’s Al Aube Outstanding Contributor Award, the Eugene L. Lawler Award for Humanitarian Contributions within Computer Science and Informatics, CMU Field Robotics Institute “Pioneer in Field Robotics” and TIME Magazine, Innovators in Artificial Intelligence. She is an IEEE Fellow.

scholarly journals Molecular Toolbox for Genetic Manipulation of the Stalked Budding Bacterium Hyphomonas neptunium

2014 ◽  
Vol 81 (2) ◽  
pp. 736-744 ◽  
Author(s):  
Alexandra Jung ◽  
Sabrina Eisheuer ◽  
Emöke Cserti ◽  
Oliver Leicht ◽  
Wolfgang Strobel ◽  
...  
Keyword(s):  
Target Genes ◽  
Fluorescent Protein ◽  
Dynamic Range ◽  
Genetic Manipulation ◽  
Expression System ◽  
Genetic System ◽  
High Dynamic Range ◽  
Content Type ◽  
Depth Analysis ◽  
Inducible Synthesis

ABSTRACTThe alphaproteobacteriumHyphomonas neptuniumproliferates by a unique budding mechanism in which daughter cells emerge from the end of a stalk-like extension emanating from the mother cell body. Studies of this species so far have been hampered by the lack of a genetic system and of molecular tools allowing the regulated expression of target genes. Based on microarray analyses, this work identifies twoH. neptuniumpromoters that are activated specifically by copper and zinc. Functional analyses show that they have low basal activity and a high dynamic range, meeting the requirements for use as a multipurpose expression system. To facilitate their application, the two promoters were incorporated into a set of integrative plasmids, featuring a choice of two different selection markers and various fluorescent protein genes. These constructs enable the straightforward generation and heavy metal-inducible synthesis of fluorescent protein fusions inH. neptunium, thereby opening the door to an in-depth analysis of polar growth and development in this species.

HDR imaging for feature tracking in challenging visibility scenes

Kybernetes ◽  
2014 ◽  
Vol 43 (8) ◽  
pp. 1129-1149 ◽  
Author(s):  
Lounis Chermak ◽  
Nabil Aouf ◽  
Mark Richardson
Keyword(s):  
Feature Detection ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Image Sensor ◽  
Image Sequences ◽  
Tracking Algorithm ◽  
Essential Information ◽  
Content Type ◽  
Detection Techniques ◽  
Hdr Image

Purpose – In visual-based applications, lighting conditions have a considerable impact on quality of the acquired images. Extremely low or high illuminated environments are a real issue for a majority of cameras due to limitations in their dynamic range. Indeed, over or under exposure might result in loss of essential information because of pixel saturation or noise. This can be critical in computer vision applications. High dynamic range (HDR) imaging technology is known to improve image rendering in such conditions. The purpose of this paper is to investigate the level of performance that can be achieved for feature detection and tracking operations in images acquired with a HDR image sensor. Design/methodology/approach – In this study, four different feature detection techniques are selected and tracking algorithm is based on the pyramidal implementation of Kanade-Lucas-Tomasi (KLT) feature tracker. Tracking algorithm is run over image sequences acquired with a HDR image sensor and with a high resolution 5 Megapixel image sensor to comparatively assess them. Findings – The authors demonstrate that tracking performance is greatly improved on image sequences acquired with HDR sensor. Number and percentage of finally tracked features are several times higher than what can be achieved with a 5 Megapixel image sensor. Originality/value – The specific interest of this work focuses on the evaluation of tracking persistence of a set of initial detected features over image sequences taken in different scenes. This includes extreme illumination indoor and outdoor environments subject to direct sunlight exposure, backlighting, as well as dim light and dark scenarios.

The Pransky interview: Dr. Tessa Lau, Founder and CEO of Dusty Robotics

2020 ◽  
Vol 47 (5) ◽  
pp. 643-646
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
Industrial Robot ◽  
Content Type ◽  
Cornell University ◽  
Personal Robots ◽  
The Status ◽  
Business Journal ◽  
Robotic Automation ◽  
Engineering Physics ◽  
Status Of Women

Purpose The purpose of this paper is to provide a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned successful business leader, regarding the commercialization and challenges of bringing technological inventions to market. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Tessa Lau, an experienced entrepreneur with expertise in AI, machine learning, and robotics, who thrives on the challenges of creating startups. She is currently Founder/CEO at Dusty Robotics, whose mission is to address construction industry productivity by introducing robotic automation on the jobsite. In this interview, Lau discusses her technical and business insights from the startups she built. Findings Dr Lau received her BA and BS from Cornell University in computer science and applied & engineering physics; and an MS and PhD degree in computer science from University of Washington. Prior to co-founding Dusty in April 2018, she was CTO/co-founder at Savioke, where she orchestrated the deployment of 75+ delivery robots into hotels and high-rises. Previously, Lau was a research scientist at Willow Garage, where she developed simple interfaces for personal robots. She also spent 11 years at IBM Research working in business process automation and knowledge capture. Originality/value Dr Lau, known as the Chief Robot Whisperer, is a robot industry disruptor who is passionate about pioneering technology that gives people super-powers. Lau has built two businesses, large, successful venture capital-funded companies. Lau was named 2017 Woman of Influence by The Silicon Valley Business Journal and one of the most creative business people by Fast Company in 2015. Over the years, Lau has served on program committees for various major HCI and AI conferences and on the board for the CRA-W – the committee for the status of women in computing research.

The Pransky interview: Dr Aaron Edsinger, CEO and cofounder at Hello Robot Inc

2018 ◽  
Vol 45 (6) ◽  
pp. 710-714
Author(s):  
Joanne Pransky
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
San Francisco ◽  
Systems Engineering ◽  
Industrial Robot ◽  
Humanoid Robots ◽  
Massachusetts Institute Of Technology ◽  
Content Type ◽  
Institute Of Technology ◽  
Artificial Intelligence Laboratory

Purpose The purpose of this paper is to present a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach The interviewee is Dr Aaron Edsinger, a proven entrepreneur and inventor in the field of human-collaborative robotics. Dr Edsinger shares his journey that led him from developing humanoids at Rodney Brooks’ Computer Science and Artificial Intelligence Laboratory at MIT, to cofounding four companies, two of which got purchased by Google. Findings Dr Edsinger received a BS degree in Computer Systems Engineering from Stanford, an MS in Computer Science from the Massachusetts Institute of Technology (MIT) and a PhD in Computer Science from MIT and did post-doctorate research in the Humanoid Robotics Group at the MIT Computer Science and Artificial Intelligence Lab. He co-founded his first company Meka Robotics in 2007 and that same year, he started his second company, HStar Technologies. In 2011, he cofounded Redwood Robotics, and in 2013, he sold Meka and Redwood to Google. From 2013 to 2017, he was a Robotics Director at Google. In August of 2017, he cofounded Hello Robot Inc. Originality/value Dr Edsinger’s work in robotics grew out of the San Francisco robotic art scene in the 1990s. Since then, he has collaborated and built over a dozen research and artistic robot platforms and has been granted 28 patents. His world-class robotic systems encompass Dr Edsinger’s innovative research in dexterous manipulation in unstructured environments, force controlled compliant actuation, human safe robotics, integrated mechatronic engineering and the design of humanoid robots. Domo, the humanoid robot he built, was named one of Time magazine’s Best Inventions of the Year for 2007. Out of the eight robot companies Google purchased in 2013, two were cofounded by Dr Edsinger. In 2017, Dr Edsinger left Google to cofound his new company, Hello Robot Inc, a stealth mode consumer robot company.

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