A Neurorobotics Approach to Investigating Word Learning Behaviors

This chapter presents two examples of how neurorobotics is being used to further understanding of word learning in the human infant. The chapter begins by presenting an example of how neurorobotics has been used to explore the synchrony constraint of word-referent association in young infants. The chapter then demonstrates the application of neurorobotics to free looking behavior, another important basic behavior with repercussions in how infants map visual stimuli to auditory stimuli. Neurorobotics complements other approaches by validating proposed mechanisms, by linking behavior to neural implementation, and by bringing to light very specific questions that would otherwise remain unasked. Neurorobotics requires rigorous implementation of the target behaviors at many vertical levels, from the level of individual neurons up to the level of aggregate measures, such as net looking time. By implementing these in a real-world robot, it is possible to identify discontinuities in our understanding of how parts of the system function. The approach is thus informative for empiricists (both neurally and behaviorally), but it is also pragmatically useful, since it results in functional robotic systems performing human-like behavior.

Optimal Design of Three-Link Planar Manipulators Using Grashof's Criterion

The design of robotic manipulators is dictated by a set of pre-determined task descriptions and performance parameters. These performance parameters are often defined in terms of workspace dexterity, manipulability, and accuracy. Many serial manipulator applications require that the manipulator have full dexterity about a work piece or a pre-defined trajectory, that is, to approach the given point within the workspace with all possible orientations about that point. Grashof's criterion defines the mobility of four-link closed chain mechanisms in relation to its link lengths. A simple assumption can convert a three-link serial manipulator into a four-link closed chain so that its mobility can be studied using Grashof's criterion. With the help of Grashof's criterion, it is possible not only to predict and simulate the mobility of a manipulator during its design, but also to map and identify the fully-dexterous regions within its workspace. Mapping of the dexterous workspace is helpful in efficient task placement and path planning. Next, the authors propose a simple algorithm using Grashof's criterion for determining the optimal link lengths of a three-link manipulator, in order to achieve full dexterity at the desired regions of the workspace. Finally, the authors test the generated design by applying joint angle limitations.

Robotic Hardware and Software Integration for Changing Human Intentions

Estimating and reshaping human intentions are among the most significant topics of research in the field of human-robot interaction. This chapter provides an overview of intention estimation literature on human-robot interaction, and introduces an approach on how robots can voluntarily reshape estimated intentions. The reshaping of the human intention is achieved by the robots moving in certain directions that have been a priori observed from the interactions of humans with the objects in the scene. Being among the only few studies on intention reshaping, the authors of this chapter exploit spatial information by learning a Hidden Markov Model (HMM) of motion, which is tailored for intelligent robotic interaction. The algorithmic design consists of two phases. At first, the approach detects and tracks human to estimate the current intention. Later, this information is used by autonomous robots that interact with detected human to change the estimated intention. In the tracking and intention estimation phase, postures and locations of the human are monitored by applying low-level video processing methods. In the latter phase, learned HMM models are used to reshape the estimated human intention. This two-phase system is tested on video frames taken from a real human-robot environment. The results obtained using the proposed approach shows promising performance in reshaping of detected intentions.

Unpredicted Trajectories of an Automated Guided Vehicle with Chaos

Intelligent Transportation Systems (ITS) are the future of transportation. As a result of emerging standards, vehicles will soon be able to talk to one another as well as their environment. A number of applications will be made available for vehicular networks that improve the overall safety of the transportation infrastructure. This chapter develops a method to impart chaotic motions to an Automated Guided Vehicle (AGV). The chaotic AGV implies a mobile robot with a controller that ensures chaotic motions. This kind of motion is characterized by the topological transitivity and the sensitive dependence on initial conditions. Due the topological transitivity, the mobile robot is guaranteed to scan the whole connected workspace. For scanning motion, the chaotic robot neither requires a map of the workspace nor plans global motions. It only requires the measurement of the workspace boundary when it comes close to it.

Medical Manipulators for Surgical Applications

Great advances have been made over the last decade with respect to medical manipulators for surgical robots. Although they cannot replace surgeons, they can increase surgeons’ abilities to perform surgeries with greater therapeutic effectiveness. These advanced surgical tools have been implemented in complex, precise, repetitive, and difficult surgeries. This chapter reviews medical manipulators used in surgical applications. At present, several kinds of medical manipulators have been developed to perform a variety of surgical procedures and can be classified into different categories. Here, the authors discuss general design principles and summarize and classify medical manipulators based on joint category and level of autonomy, with illustrations of applications. Finally, a brief synopsis is provided.

Self Control and Server-Supervisory Control for Multiple Mobile Robots and its Applicability to Intelligent DNC System

Multiple mobile robots with six PSD (Position Sensitive Detector) sensors are designed for experimentally evaluating the performance of two control systems. They are self-control mode and server-supervisory control mode. The control systems are considered to realize swarm behaviors such as Ligia exotica. This is done by using only information of PSD sensors. Experimental results show basic but important behaviors for multiple mobile robots. They are following, avoidance, and schooling behaviors. The collective behaviors such as following, avoidance, and schooling emerge from the local interactions among the robots and/or between the robots and the environment. The objective of the study is to design an actual system for multiple mobile robots, to systematically simulate the behaviors of various creatures who form groups such as a school of fish or a swarm of insect. Further, the applicability of the server-supervisory control scheme to an intelligent DNC (Direct Numerical Control) system is briefly considered for future development. DNC system is an important peripheral apparatus, which can directly control NC machine tools. However, conventional DNC systems can neither deal with various information transmitted from different kinds of sensors through wireless communication nor output suitable G-codes by analyzing the sensors information in real time. The intelligent DNC system proposed at the end of the chapter aims to realize such a novel and flexible function with low cost.

Mobile Laboratory Model for Next-Generation Heterogeneous Wireless Systems

Failure to integrate heterogeneous wireless systems generally makes it difficult, if not impossible, for the continuation of remote working or remote experiments when human operators and equipment coexist through networks in a collaborative environment. Mobile laboratories using ubiquitous mobile communication for next-generation heterogeneous wireless systems have prospects for increasing the operation of distributed communication and mobile ubiquitous systems. All “technology assessors” concur that tomorrow's society will have access to smart objects (mobile devices or apparatuses, mobile equipment, e.g. robots) that contain “programs” that will assist with communication in everyday life. However one of the tomorrow’s challenges will consist of programming those objects to cooperate with and control telecommunications technologies. For a Mobile Laboratory to ensure consistent mobility in an environment, it must combine various wireless networks as a single integrated system. In this chapter we propose a Mobile Laboratory Model with mobile devices that take advantage of multiple mobile gateways by using Internet Protocol (IP) as the interconnection protocol to achieve the objective stated above.

Robot Modeling for Physical Rehabilitation

The science of rehabilitation shows that repeated movements of human limbs can help the patient regain function in the injured limb. There are three types of mechanical systems used for movement rehabilitation: robots, cable-based manipulators, and exoskeletons. Industrial robots can be used because they provide a three-dimensional workspace with a wide range of flexibility to execute different trajectories, which are useful for motion rehabilitation. The cable-based manipulators consist of a movable platform and a base, which are connected by multiple cables that can extend or retract. The exoskeleton is fixed around the patient's limb to provide the physiotherapy movements. This chapter presents a summary of the principal human limb movements, a review of several mechanical systems used for rehabilitation, as well as common mathematical models of such systems.

The Impact of Educational Robotics on Student STEM Learning, Attitudes, and Workplace Skills

This chapter discusses findings from a National Science Foundation (NSF) project funded by the Innovative Technologies Experiences for Student and Teachers (ITEST) program. The project has an ongoing research agenda focusing on the impact of robotics summer camps and competitions targeted at middle school youth. The research focused on the impact of the interventions on youth a) learning of computer programming, mathematics, and engineering concepts, b) science, technology, engineering, and math (STEM) attitudes, c) workplace skills, and d) STEM career interest. Results show that robotics camps and competitions appear to be viable strategies to increase student STEM learning, robotics self-efficacy, and problem solving skills.

Android Robots as Telepresence Media

In this chapter, the authors describe two human-like android robots, known as Geminoid and Telenoid, which they have developed. Geminoid was developed for two reasons: (1) to explore how humans react or respond the android during face-to-face communication and (2) to investigate the advantages of the android as a communication medium compared to traditional communication media, such as the telephone or the television conference system. The authors conducted two experiments: the first was targeted to an interlocutor of Geminoid, and the second was targeted to an operator of it. The results of these experiments showed that Geminoid could emulate a human’s presence in a natural-conversation situation. Additionally, Geminoid could be as persuasive to the interlocutor as a human. The operators of Geminoid were also influenced by the android: during operation, they felt as if their bodies were one and the same with the Geminoid body. The latest challenge has been to develop Telenoid, an android with a more abstract appearance than Geminoid, which looks and behaves as a minimalistic human. At first glance, Telenoid resembles a human; however, its appearance can be interpreted as any sex or any age. Two field experiments were conducted with Telenoid. The results of these experiments showed that Telenoid could be an acceptable communication medium for both young and elderly people. In particular, physical interaction, such as a hug, positively affected the experience of communicating with Telenoid.