Paul Hemeren - University of Skövde - Högskolan i Skövde

Sensorimotor Robot Policy Training using Reinforcement

Active learning is an attractive strategy for robot learners because it has the potential to improve the accuracy and the speed of learning, but it can Designing interactions for robot active learners Active learning is an attractive strategy for robot learners because it has the potential to improve the accuracy and the speed of learning, but it can cause issues from an interaction perspective. Here we present three interaction modes that enable a robot to use active learning queries. Active learning is an attractive strategy for robot learners because it has the potential to improve the accuracy and the speed of learning, but it can cause issues from an interaction perspective. Here we present three interaction modes that enable a robot to use active learning queries.

IEEE T. … Designing Interactions for Robot Active Learners Maya Cakmak, Crystal Chao, and Andrea L. Thomaz Abstract—This paper addresses some of the problems that arise when applying active learning to the context of human–robot in-teraction (HRI). Active learning is an attractive strategy for robot Interaction is a pretty hot topic in our field and for good reason. Its importance for learning has been clearly documented in instructional research. Some of the most critical outcomes of interaction include feedback, motivation, and the ability to adapt content to a learner’s needs. Designing Robot Learners that Ask Good Questions Maya Cakmak and Andrea L. Thomaz School of Interactive Computing, Georgia Institute of Technology 801 Atlantic Dr., Atlanta, GA, USA {maya,athomaz}@cc.gatech.edu ABSTRACT Programming new skills on a robot should take minimal time and e ort.

Conference Papers - Department of Information Technology

Using Minimum Jerk Human Motion Models to Improve Telerobotic Performance Estimation-based iterative learning control. Information for students, faculty and staff regarding COVID-19. Currently, I am mostly working within robotics and automation, both basic and applied research, with emphasis on using mathematically justified new algorithms for designing of the 18th Student Conference in Interaction Technology and Design and the 6th Responsive Joint Attention in Human-Robot Interaction2019Ingår i: Proceedings 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP) Designing joint attention systems for robots that assist children with autism AHA II – Design Ethnographic Living Labs for Future Urban Mobility – A Human Approach digital work environment as robot colleagues become part of everyday life The project will define the needs and wants for flexible learning at advanced which aims to motivate and support people to be more physically active. forskargruppen AASS Machine Perception and Interaction Lab. Hon är Hon har också utvidgat sin forskning inom området Human-Robot Interaction och RöjSat-SIG AI · SAAPHO - Secure Active Aging: Participation and Health for the Old Symbolic Learning and Reasoning With Noisy Data for Probabilistic Anchoring.

PhD Research Fellow - Collective Deep Learning and

The three modes differ in when they make queries: the first makes a query every turn, the second makes a query only under certain conditions, and the third makes a query only when explicitly requested by the teacher. Designing Interactions for Robot Active Learners. Maya Cakmak, Crystal Chao, Andrea Lockerd Thomaz. Designing Interactions for Robot Active Learners. IEEE T. Autonomous Mental Development, 2(2): 108-118, 2010. Here we present three interaction modes that enable a robot to use active learning queries.

Designing interactions for robot active learners

Its mechanicals include servomotors, aluminum links, parallel-jaw wrist-and-gripper assembly, construction bases, and other parts. The learner uses these to Designing Interactions for Robot Active Learners Abstract: This paper addresses some of the problems that arise when applying active learning to the context of human-robot interaction (HRI). Active learning is an attractive strategy for robot learners because it has the potential to improve the accuracy and the speed of learning, but it can cause issues from an interaction perspective. Designing Interactions for Robot Activ e Learners Maya Cakmak, Crystal Chao, and Andrea L. Thomaz Abstract— This paper addresses some of the problems that arise Active learning lets robot ask for more data, which results in more effective learning.
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For example, while teaching a robot to go and pick up the mail, the robot can detect numerous other aspects along its path (e.g., pass-ing by a chair, meeting another robot, etc.).

We consider that this load problem is reduced by this method in the point Active language learners need to have a good repertoire of communication strategies at their disposal so that they can negotiate meaning. Encourage students to become risk-takers and help them understand that mistakes are an integral part of the learning process.
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Bygg en konversations robot i företags klass - Azure

Here we present three interaction modes that enable a robot to use active learning queries. Designing Interactions for Robot Active Learners Maya Cakmak, Crystal Chao, and Andrea L. Thomaz Abstract—This paper addresses some of the problems that arise when applying active learning to the context of human–robot in-teraction (HRI). Active learning is an attractive strategy for robot Active learning is an attractive strategy for robot learners because it has the potential to improve the accuracy and the speed of learning, but it can cause issues from an interaction perspective. Here we present three interaction modes that enable a robot to use active learning queries.

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Conference Papers - Department of Information Technology

PhD Research Fellow - Collective Deep Learning and

Bygg en konversations robot i företags klass - Azure

Research projects within Digital Service Innovation