1,722 resources related to Cognitive Robotics
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.
The IEEE Global Engineering Education Conference (EDUCON) 2020 is the eleventh in a series of conferences that rotate among central locations in IEEE Region 8 (Europe, Middle East and North Africa). EDUCON is one of the flagship conferences of the IEEE Education Society. It seeks to foster the area of Engineering Education under the leadership of the IEEE Education Society.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.
IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing ...
2014 International Conference on Computing for Sustainable Global Development (INDIACom), 2014
A number of researches has taken place related to cognitive robotics along with a merger of the two subjects taken individually. However, a gap is found in the researches with a respective to comparison of the technology used in earlier times and present times. This paper explains the scarcity in the literature in the relevant field. The authors have made ...
Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005
Summary form only given. There has been substantial progress in both intelligent systems and robotics in recent years. While in the past robots were most successful in traditional industrial environments, new generations of hybrid intelligent robotic systems are being developed which focus on higher cognitive capabilities, including reasoning learning and language communication. In this paper we give an overview of ...
10th Symposium on Neural Network Applications in Electrical Engineering, 2010
Summary form only given. The contemporary robotics technology is broadening its applications from factory to more general-purpose applications in domestic and public use, e.g., partner to the elderly, rehabilitations, search and rescue, etc. If robotics technology is to be successful in such complex, unstructured, dynamic environments with high level of uncertainties, it will need to meet new levels of robustness, ...
2009 8th IEEE International Conference on Cognitive Informatics, 2009
The concepts of artifact-as-organism and creator-in-a-box, and their autonomy, adaptation and evolution are proposed as purely engineering motivations for the incorporation of the cognitive attributes of consciousness and self- awareness into robots, automata, machines and artifacts. These ideas are then used to create computational models of cognitive robots and machine consciousness that can be executed using modern parallel, distributed, many ...
2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2009
When a humanoid lifts a heavy object, or carries an object in a bag or a carriage, it needs to change the reference CoM(center of mass) and ZMP(Zero Moment Position) in order not to fall down. However, it is not natural to design a reference CoM and ZMP to lift or to carry an object every time. In this paper, ...
Robotics History: Narratives and Networks Oral Histories: Barbara Hayes Roth
Active Space-Body Perception and Body Enhancement using Dynamical Neural Systems
Robotics History: Narratives and Networks Oral Histories: Rolf Pfiefer
Robotics History: Narratives and Networks Oral Histories: Sara Kiesler
IROS TV 2019- How to Build a Robot: The Quest for Human Level AI in Robotics
TryEngineering Careers with Impact: Mataric
IROS TV 2019 Haptic Intelligence with Dr. Katherine J Kuchenbecker
Robotics History: Narratives and Networks Oral Histories: Chris Atkeson
Special Evening Panel Discussion: AI, Cognitive Information Processing, and Rebooting Computing - IEEE Rebooting Computing 2017
The Largest Cognitive Systems will be Optoelectronic: an ICRC 2018 Talk
IEEE 125th Anniversary Media Event: Cognitive Computing
Surgical Robotics: Endoluminal Surgical Robotics
Formal Methods in Robotics
Self-Organization with Information Theoretic Learning
Robotics History: Narratives and Networks Oral Histories: Toshio Fukuda
Surgical Robotics: Medical robotics and computer-integrated interventional medicine
Mind/Brain Research and AI Development: How Do They Inform Each Other? - IEEE TechEthics Panel
Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing - Peter Petre: 2016 International Conference on Rebooting Computing
Machine Learning of Motor Skills for Robotics
A number of researches has taken place related to cognitive robotics along with a merger of the two subjects taken individually. However, a gap is found in the researches with a respective to comparison of the technology used in earlier times and present times. This paper explains the scarcity in the literature in the relevant field. The authors have made an attempt to introduce the emergence of the subject called `Cognitive Robotics'. An effort has been made to analyze the path Cognitive Robotics has given to the emerging technology. The paper encompasses the significant theories along with the augmenting computational techniques that compensate the drawbacks of the technology found in earlier times. Using the concept of Robotics Cognition the authors are developing an algorithm for Route finding in enemy terrain through Soft Computing Techniques.
Summary form only given. There has been substantial progress in both intelligent systems and robotics in recent years. While in the past robots were most successful in traditional industrial environments, new generations of hybrid intelligent robotic systems are being developed which focus on higher cognitive capabilities, including reasoning learning and language communication. In this paper we give an overview of learning neural robots from a perspective of integrative hybrid intelligent systems and illustrate some new developments including also examples under development in the Centre for Hybrid Intelligent Systems.
Summary form only given. The contemporary robotics technology is broadening its applications from factory to more general-purpose applications in domestic and public use, e.g., partner to the elderly, rehabilitations, search and rescue, etc. If robotics technology is to be successful in such complex, unstructured, dynamic environments with high level of uncertainties, it will need to meet new levels of robustness, physical dexterity and cognitive capability. This presentation discusses an emerging field called cognitive robotics. The one solution for building cognitive robots in order to cope with imprecise, incomplete, and inconsistent information that arises in complex technical systems, is computational intelligence that uses biologically inspired soft-computing techniques, like artificial neural networks, evolutionary approaches, and swarm intelligence. Research topics, features and challenges of cognitive robotics will be introduced. Key challenges in constructing these robots include the systematic treatment of uncertainties, the modeling of the environmental state, the coordination of teams of cooperating robots in dynamic environments, the interaction with humans, development, and learning. It is important to notice that in order to realize cognitive robots many overlapping disciplines are needed, e.g. robotics, artificial intelligence, cognitive science, neuroscience, biology, psychology, and cybernetics. Some important research topics from this area will be specially analyzed: Advanced perception (vision, tactile sensing, haptic sensing, multi-sensor fusion), Advanced locomotion and manipulation, SLAM, Learning including imitation learning, reinforcement learning, supervised learning, Human-robot interaction, Reasoning and Making Decisions, Intelligent planning and navigation, Swarm intelligence, etc. A case study of cognitive methods applied for humanoid and service mobile robots will be introduced.
The concepts of artifact-as-organism and creator-in-a-box, and their autonomy, adaptation and evolution are proposed as purely engineering motivations for the incorporation of the cognitive attributes of consciousness and self- awareness into robots, automata, machines and artifacts. These ideas are then used to create computational models of cognitive robots and machine consciousness that can be executed using modern parallel, distributed, many core, and massively multi-core, computer architectures.
When a humanoid lifts a heavy object, or carries an object in a bag or a carriage, it needs to change the reference CoM(center of mass) and ZMP(Zero Moment Position) in order not to fall down. However, it is not natural to design a reference CoM and ZMP to lift or to carry an object every time. In this paper, objects held by a hand are considered as an augmented virtual link connected at the end of the hand, and it is included in calculating the humanoid CoM. The mass augmentation is done in real time and thus objects can be loaded and unloaded dynamically without any change of reference CoM and ZMP. The balanced pose of the humanoid is obtained by using MECoM(Motion- Embedded CoM) Jacobian resolution method. The proposed method is verified by an experiment.
Interaction between two entities is a mixture of social, cognitive, and embodied qualities. We know a great deal about interaction between people, but only recently have begun exploring whether people interact with robots and avatars the same way that people interact with each other. In general, people do seem to interact with computers (and robots) the same way that people interact with each other. Most of this work has suggested that people respond to robots as social actors simply by providing relatively surface level cues about social behavior (e.g., a female voice). Our approach has been to build high-fidelity cognitive models that match human-level data and that run on our robots. These models have focused on pure cognitive robotics with emergent interaction: the robot architecture is a cognitive architecture and the robot deals with the environment and people the same way that as people do. We have recently been working on taking our cognitive models and predicting what a person would do next or in the near future, and then improving interaction. I will discuss some of the challenges and the success of using a pure cognitive approach and a hybrid robotics/cognitive approach.
The aim of this research is to combine computational intelligent techniques with web based modeling and simulation to assure functional and E-learning means in the field of Cognitive Robotics. A web based evolutionary computation experimental tool has been created based on cloud computing approach and bacterial memetic algorithm. The technique is applied for generating locomotion of a six legged robot.
Hand-eye coordination is an important motor skill acquired in infancy which precedes pointing behavior. Pointing facilitates social interactions by directing attention of engaged participants. It is thus essential for the natural flow of human-robot interaction. Here, we attempt to explain how pointing emerges from sensorimotor learning of hand-eye coordination in a humanoid robot. During a body babbling phase with a random walk strategy, a robot learned mappings of joints for different arm postures. Arm joint configurations were used to train biologically inspired models consisting of SOMs. We show that such a model implemented on a robotic platform accounts for pointing behavior while humans present objects out of reach of the robot's hand.
The paper gives a comprehensive overview of our Shopping Guide project, which aims at the development of interactive mobile shopping companion robots for everyday use in challenging operating environments such as home improvement stores. It is spanning an arc from the expectations and requirements of store owners and customers, via the challenges of the shopping scenario and the operating environment, the implemented functionality of the shopping guide robots, up to the results of long-term field trials. The field trials started in April 2008 and still ongoing aim at studying whether and how a group of interactive mobile shopping guide robots can operate completely autonomously in such everyday environments and how they are accepted by uninstructed customers. In these field trials, where nine robotic shopping guides traveled together 2187 kilometers in three different home improvement stores in Germany, more than 8,600 customers were successfully guided to the locations of their products of choice. With the successful development of these shopping guide robots, a further important step towards assistive robotics for daily use has been done.
The paper describes progress achieved in our long-term research project ShopBot, which aims at the development of an intelligent and interactive mobile shopping assistant for everyday use in shopping centers or home improvement stores. It is focusing on recent progress concerning two important methodological aspects: (i) the on-line building of maps of the operation area by means of advanced Rao-Blackwellized SLAM approaches using both sonar-based gridmaps as well as vision-based graph maps as representations, and (ii) a probabilistic approach to multi-modal user detection and tracking during the guidance tour. Experimental results of both the map building characteristics and the person tracking behavior achieved in an ordinary home improvement store demonstrate the reliability of both approaches. Moreover, we present first very encouraging results of long-term field trials which have been executed with three robotic shopping assistants in another home improvement store in Bavaria since March 2008. In this field test, the robots could demonstrate their suitability for this challenging real-world application, as well as the necessary user acceptance.
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