The Pransky interview: Aldo Zini, President and CEO of Aethon, Inc.

Author(s):  
Joanne Pransky

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. This paper aims to discuss these issues. Design/methodology/approach – The interviewee is Aldo Zini, President and CEO of Aethon, Inc., a robotics and software company that has developed an innovative automated platform to improve internal supply logistics. In this interview, Zini shares some of the technical and business details that have led up to the latest version of Aethon’s core product, the TUG, a mobile autonomous robot with more than 450 installs worldwide. Findings – Zini received a BS in Industrial Engineering from the University of Pittsburgh and a master’s in Public Management (Health Systems IT) from Carnegie Mellon University. While obtaining his BS degree, Zini did an internship in hospital consulting and became immediately interested in healthcare automation as a way to solve hospital inefficiencies. Zini went on to become the Vice President of Sales and Marketing for Automated Healthcare, which developed the first robotic medication dispensing system for hospitals (ROBOT-Rx) and was acquired by McKesson for $67 million. Before joining and investing in Aethon, Zini was Senior Vice President of sales and marketing for TechRx, one of the largest providers of software solutions to the pharmacy industry, which was sold to NDC Corporation for over $200 million. Originality/value – Zini has been leading the technology revolution in hospital automation for more than 25 years. His contributions to technology-driven companies have led to acquisitions worth more than a quarter of a billion dollars. Zini owns several patents in medication-dispensing technology, and is credited with the development of key methodologies in quantifying the value proposition for several technology platforms deployed in hundreds of hospitals across the country.

Author(s):  
Joanne Pransky

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.


Author(s):  
Joanne Pransky

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. This paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Jun Ho Oh, Professor of Mechanical Engineering at the Korea Advanced Institute of Science and Technology (KAIST) and Director of KAIST’s Hubolab. Determined to build a humanoid robot in the early 2000s to compete with Japan’s humanoids, Dr Oh and KAIST created the KHR1. This research led to seven more advanced versions of a biped humanoid robot and the founding of the Robot for Artificial Intelligence and Boundless Walking (Rainbow) Co., a professional technological mechatronics company. In this interview, Dr Oh shares the history and success of Korea’s humanoid robot research. Findings Dr Oh received his BSc in 1977 and MSc in Mechanical Engineering in 1979 from Yonsei University. Oh worked as a Researcher for the Korea Atomic Energy Research Institute before receiving his PhD from the University of California (UC) Berkeley in mechanical engineering in 1985. After his PhD, Oh remained at UC Berkeley to do Postdoctoral research. Since 1985, Oh has been a Professor of Mechanical Engineering at KAIST. He was a Visiting Professor from 1996 to 1997 at the University of Texas Austin. Oh served as the Vice President of KAIST from 2013-2014. In addition to teaching, Oh applied his expertise in robotics, mechatronics, automatic and real-time control to the commercial development of a series of humanoid robots. Originality/value Highly self-motivated and always determined, Dr Oh’s initial dream of building the first Korean humanoid bipedal robot has led him to become one of the world leaders of humanoid robots. He has contributed widely to the field over the nearly past two decades with the development of five versions of the HUBO robot. Oh led Team KAIST to win the 2015 DARPA Robotics Challenge (DRC) and a grand prize of US$2m with its humanoid robot DRC-HUBO+, beating 23 teams from six countries. Oh serves as a robotics policy consultant for the Korean Ministry of Commerce Industry and Energy. He was awarded the 2016 Changjo Medal for Science and Technology, the 2016 Ho-Am Prize for engineering, and the 2010 KAIST Distinguished Professor award. He is a member of the Korea Academy of Science and Technology.


Author(s):  
Joanne Pransky

Purpose The purpose of 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-entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach The interviewee is Mitchell Weiss, Chief Technology Officer (CTO) for Seegrid Corporation, a manufacturer of stereo vision-guided robots and vehicle control systems. As an accomplished executive of automation and robotics companies, Weiss shares his experiences and industry knowledge, including his first full-time job out of college at Unimation, the world’s first robot company. Findings Weiss received a Bachelor of Science from MIT and a Graduate Certificate in Intellectual Property (IP) from Northeastern University, has taught at Penn State and the University of Pennsylvania and has lectured at MIT. He has served as the Chief Operating Officer at Seegrid Corp.; CTO at Brooks Automation; CTO and Vice President of PRI Automation; President of ProgramMation, Inc.; and Chief Engineer and Co-Founder at United States Robots, Inc. Originality/value Weiss holds 24 patents, is an expert witness in IP litigation, is Vice Chair of ASTM F45 Driverless Automatic Guided Industrial Vehicles and is a member of ANSI/ITSDF B56.5 Safety Standard for Driverless, Automatic Guided Industrial Vehicles and Automated Functions of Manned Industrial Vehicles. He is also one of the co-authors of the 1986 McGraw-Hill book Industrial Robotics: Technology, Programming, and Applications. Weiss has led his high-technology robotic and automation companies to be successful in the installation of worldwide automation systems in semiconductor manufacturing, electronics manufacturing, automotive and warehousing and distribution. His technical achievements in product design, development and production combined with his business expertise in fund-raising, initial public offering and mergers & acquisitions provide companies with a unique, forward-thinking technology roadmap.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joanne Pransky

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, industry engineer-turned entrepreneur regarding his pioneering efforts in bringing a robotic invention to market. This paper aims to discuss these issues. Design/methodology/approach The interviewee is Geoff Howe, Senior Vice President of Howe & Howe, Inc., a subsidiary of Textron Systems and a leader in advanced robotic platform solutions and applications built and proven for the most extreme conditions in the world. Geoff and Michael Howe founded Howe & Howe Technologies in 2001 and was acquired by Textron Systems in 2018. In 2010, Howe and Howe developed one of the world’s first robotic fire-fighting solutions. Geoff Howe describes the evolution of the Thermite robotic firefighter’s commercial development, along with the challenges of breaking ground in this new industry. Findings Geoff and his identical twin brother, Michael Howe, are inventors, military contractors, actors and entrepreneurial businessmen famous for their philanthropic drive to give back to their community. When Geoff and Mike were just six years old, they were known as “Howe and Howe Construction.” At the age of eight, Mike and Geoff built their own one room log cabin with the power tools their mom had given them for their birthday. At 16 years old, they started tinkering with vehicles before they even had their drivers’ licenses. They both graduated from Maine high school and colleges with honors. The company’s portfolio includes the RIPSAW® , Thermite, the Badger, Subterranean Rover and other extreme vehicles used for numerous applications. In 2010, Howe and Howe completed three new vehicles. First was the Thermite™ which entered the unmanned ground vehicle (UGV) market as the USA’s first firefighting UGV. The second vehicle was Ripchair™, the development of an off-road wheelchair for those that have become disabled and are unable to walk. The third vehicle was Riptide, the amphibious version of the RIPSAW. Year 2015 saw the commercial development of the Big Dog Extreme 4x4 fire truck and the Thermite RS1 and RS3 firefighting robots. The Big Dog is an off-road truck and also serves as an all-terrain multi-use firetruck. The Thermite provides firefighters and first responders immediate eyes inside the fire as well the ability to safely attack industrial, chemical and HAZMAT fires from their core. The Thermite robot provides safety and inside access on containing and defeating fires of any magnitude. Originality/value Howe & Howe Technologies first gained notoriety in 2001, with the development of the world’s fastest tank, the RIPSAW. Successful demonstrations soon followed, which eventually allowed the Howes, at the age of 31, to be named among the youngest in history to ever receive a multi-million dollar military contract from the USA. Soon after, in 2010, Howe & Howe received a Guinness World Record for developing the world’s smallest armored vehicle, the Badger. By the time the Howes were 36, they had one world record, multiple patents pending for their product developments, as well as military contracts. The Howes also had their own reality television show on a major US network. In 2010, they completed the Thermite, Fire Fighting Unmanned Ground Vehicle. In 2012, the Howes founded “Outdoors Again,” a nonprofit 501c3 organization that holds outdoor events and social activities for those who require the use of a wheelchair.


Author(s):  
Joanne Pransky

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 engineer-turned entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach The interviewee is innovator Helen Greiner, Founder and CEO of CyPhy Works. Ms Greiner describes her technical and business experiences delivering ground robots into the industrial, consumer and military markets, which led to her pioneering flying robot solutions. Findings Helen Greiner received a bachelor’s degree in mechanical engineering and a master’s degree in computer science, both from MIT. She also holds an honorary doctor of engineering degree from Worcester Polytechnic Institute. Greiner is one of the three co-founders of iRobot Corp (Nasdaq: IRBT) and served as iRobot’s Vice President of Engineering (1990-1994), President (1994-2008), and Chairman (2004-2008). She founded CyPhy Works in 2008. Greiner has also served as the President, Board Member for the Robotics Technology Consortium; a Trustee for MIT; and is currently a Trustee for the Boston Museum of Science. Originality/value Inspired as a child by the movie Star Wars, Greiner’s life goal has been to create robots. Greiner was one of three people that founded iRobot Corporation and developed a culture of innovation that led to the Roomba Autonomous Vacuuming Robot. There are now more than 12 million Roombas worldwide. She also led iRobot’s entry into the military marketplace with the creation and deployment of over 6,000 PackBot robots. Greiner has received many awards and honors for her contributions in technology innovation and business leadership. She was named by the Kennedy School at Harvard in conjunction with the US News and World Report as one of America’s Best Leaders and was honored by the Association for Unmanned Vehicle Systems International with the prestigious Pioneer Award. She has also been honored as a Technology Review Magazine “Innovator for the Next Century” and has been awarded the DEMO God Award and DEMO Lifetime Achievement Award. She was named one of the Ernst & Young New England Entrepreneurs of the Year, invited to the World Economic Forum as a Global Leader of Tomorrow and Young Global Leader and has been inducted in the Women in Technology International Hall of Fame.


Author(s):  
Jing Bai ◽  
Le Fan ◽  
Shuyang Zhang ◽  
Zengcui Wang ◽  
Xiansheng Qin

Purpose Both geometric and non-geometric parameters have noticeable influence on the absolute positional accuracy of 6-dof articulated industrial robot. This paper aims to enhance it and improve the applicability in the field of flexible assembling processing and parts fabrication by developing a more practical parameter identification model. Design/methodology/approach The model is developed by considering both geometric parameters and joint stiffness; geometric parameters contain 27 parameters and the parallelism problem between axes 2 and 3 is involved by introducing a new parameter. The joint stiffness, as the non-geometric parameter considered in this paper, is considered by regarding the industrial robot as a rigid linkage and flexible joint model and adds six parameters. The model is formulated as the form of error via linearization. Findings The performance of the proposed model is validated by an experiment which is developed on KUKA KR500-3 robot. An experiment is implemented by measuring 20 positions in the work space of this robot, obtaining least-square solution of measured positions by the software MATLAB and comparing the result with the solution without considering joint stiffness. It illustrates that the identification model considering both joint stiffness and geometric parameters can modify the theoretical position of robots more accurately, where the error is within 0.5 mm in this case, and the volatility is also reduced. Originality/value A new parameter identification model is proposed and verified. According to the experimental result, the absolute positional accuracy can be remarkably enhanced and the stability of the results can be improved, which provide more accurate parameter identification for calibration and further application.


Author(s):  
Yi Liu ◽  
Ming Cong ◽  
Hang Dong ◽  
Dong Liu

Purpose The purpose of this paper is to propose a new method based on three-dimensional (3D) vision technologies and human skill integrated deep learning to solve assembly positioning task such as peg-in-hole. Design/methodology/approach Hybrid camera configuration was used to provide the global and local views. Eye-in-hand mode guided the peg to be in contact with the hole plate using 3D vision in global view. When the peg was in contact with the workpiece surface, eye-to-hand mode provided the local view to accomplish peg-hole positioning based on trained CNN. Findings The results of assembly positioning experiments proved that the proposed method successfully distinguished the target hole from the other same size holes according to the CNN. The robot planned the motion according to the depth images and human skill guide line. The final positioning precision was good enough for the robot to carry out force controlled assembly. Practical implications The developed framework can have an important impact on robotic assembly positioning process, which combine with the existing force-guidance assembly technology as to build a whole set of autonomous assembly technology. Originality/value This paper proposed a new approach to the robotic assembly positioning based on 3D visual technologies and human skill integrated deep learning. Dual cameras swapping mode was used to provide visual feedback for the entire assembly motion planning process. The proposed workpiece positioning method provided an effective disturbance rejection, autonomous motion planning and increased overall performance with depth images feedback. The proposed peg-hole positioning method with human skill integrated provided the capability of target perceptual aliasing avoiding and successive motion decision for the robotic assembly manipulation.


2016 ◽  
Vol 6 (4) ◽  
pp. 340-371 ◽  
Author(s):  
Andrew Goddard ◽  
Tausi Ally Mkasiwa

Purpose The purpose of this paper is to investigate the budgeting practices in the Tanzanian Central Government. New budgeting reforms were introduced following exhortations from the bodies such as the UN, the World Bank and the IMF and reflect the new public management (NPM). Design/methodology/approach A grounded theory methodology was used. This methodology is inductive, allowing phenomena to emerge from the participants rather than from prior theory. This ensures both relevance and depth of understanding. Findings The principal research findings from the data concern the central phenomenon of “struggling for conformance”. Tanzanian Central Government adopted innovations in order to ensure donor funding by demonstrating its ability to implement imposed budgetary changes. Organizational actors were committed to these reforms through necessity and struggled to implement them, rather than more overtly resisting them. Research limitations/implications The research is subject to the usual limitations of case study, inductive research. Practical implications This research has several implications for policy-makers of NPM and budgetary reforms. These include the recognition that the establishment of the rules and regulations alone is not adequate for the successful implementation of budgetary and NPM reforms and should involve a comprehensive view of the nature of the internal and external environment. Originality/value There are few empirical papers of NPM accounting practices being implemented in the public sector of developing countries and none at all based in Tanzania. The paper identifies the existence of struggling to conform to reforms rather than resistance identified in prior research.


2016 ◽  
Vol 19 (1) ◽  
pp. 4-20 ◽  
Author(s):  
Peter Leasure

Purpose – Asset recovery proceedings increasingly target corrupt foreign officials who acquire lavish assets as a result of capital gained through criminal acts. One extremely difficult issue arising in asset recovery proceedings is whether the capital used to acquire the assets can be traced to a criminal act. The purpose of this paper is to critique US tracing procedure through comparative analysis. Design/methodology/approach – A prominent series of cases brought by the USA and France against assets owned by Teodoro “Teodorín” Nguema Obiang, second Vice President of the Republic of Equatorial Guinea, produced mixed results on the tracing element. This paper utilizes a qualitative comparative case analysis to examine the US and French cases. Findings – The US results reflect serious weaknesses in the US law as compared to more effective French asset recovery procedure. Originality/value – Though this paper is certainly a comparative case study analysis, nearly identical facts and two different jurisdictions reaching separate conclusions bring us in the legal community as close as we can realistically come to quasi-experimental research. Comparative research in this area is severely lacking and sorely needed. The mechanisms identified in the French system clearly show flaws that are present in the US system.


Keyword(s):  

Headline ARGENTINA: Vice-president backs IMF deal, for now


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