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Human-robot collaboration for synergistic task execution
(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 ...
Simultaneous human-robot learning for efficient skill synthesis
(2015-08)
Yakın gelecekte robotların ve otonom birimlerin günlük yaşamımızın bir parçası haline geleceği beklenmektedir. Fakat, robotları bütün olası görevler için klasik yöntemlerle programlamak mümkün değildir. Bu sebeple, robot ...
Design and modeling of a parallel robot for ultrasound guided percutaneous needle interventions
(2015-08)
Percutaneous needle operations need precise positioning in order to collect samples for diagnosis. Due to their robustness, accuracy robotic systems started to take place in medical procedures. Research that have been done ...
Computational approaches to brain mechanisms of action recognition and emotion
(2015-08)
Through evolution living beings have gained unique features to deal with apparently easy but computationally expensive problems such as mate selection, learning sensorimotor skills and decision making. Thus, understanding ...
ZMP-based online jumping pattern generation for a one-legged robot
(IEEE, 2010-05-01)
This paper is aimed at presenting a method to generate online jumping patterns, which can be applied to one legged jumping robots and optionally to humanoid robots. Our proposed method is based on ensuring the overall ...
Dexterous manipulation with a robotic hand
(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
(IEEE, 2021)
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 ...
Deep multi-object symbol learning with self-attention based predictors
(IEEE, 2023)
This paper proposes an architecture that can learn symbolic representations from the continuous sensorimotor experience of a robot interacting with a varying number of objects. Unlike previous works, this work aims to ...
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