Now showing items 1-7 of 7
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An actor-critic reinforcement learning approach for bilateral negotiation
Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is ... -
Dexterous manipulation with a robotic hand
Kaya, Osman (2017-06)In robotics, flexible and the dexterous manipulation are one of the most desired type of skills. To this end, we investigate dexterous manipulation skills on an anthropomorphic robot hand. In the first part of the study, ... -
An ecologically valid reference frame for perspective invariant action recognition
In robotics, objects and body parts can be represented in various coordinate frames to ease computation. In biological systems, body or body part centered coordinate frames have been proposed as possible reference frames ... -
Explorations on inverse reinforcement learning for the analysis of motor control and cognitive decision making mechanisms of the brain
Reinforcement Learning is a framework for generating optimal policies given a task and a reward/punishment structure. Likewise, Inverse Reinforcement Learning, as the name suggests, is used for recovering the reasoning ... -
High-level representations through unconstrained sensorimotor learning
Living organisms, in particular mammals are adept at learning complex tasks that may require basic planning such as tool use and manipulation. This ability is manifested by the central nervous system; in particular by the ... -
Human-robot collaboration for synergistic task execution
Amirshirzad, Negin (2017-05)There is great potential for human and robot to work together as a team, since this collaboration can take advantage of both human and robot capabilities, cover their weakness and yield a higher performance. We propose and ... -
Real-time decoding of arm kinematics during grasping based on f5 neural spike data
Ashena, Narges (2017-05)Extending our knowledge about brain mechanisms and behavior can lead to many advantages and inspiration in the diagnosis of nervous system diseases and robotics and artificial intelligence. Ventral premotor cortex, i.e. ...
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