Zobrazeno 1 - 10
of 69
pro vyhledávání: '"ŞAHİN, Ferat"'
This paper explores the use of 3D lidar in a physical Human-Robot Interaction (pHRI) scenario. To achieve the aforementioned, experiments were conducted to mimic a modern shop-floor environment. Data was collected from a pool of seventeen participant
Externí odkaz:
http://arxiv.org/abs/2406.00869
Autor:
Subramanian, Karthik, Singh, Saurav, Namba, Justin, Heard, Jamison, Kanan, Christopher, Sahin, Ferat
Many attempts have been made at estimating discrete emotions (calmness, anxiety, boredom, surprise, anger) and continuous emotional measures commonly used in psychology, namely `valence' (The pleasantness of the emotion being displayed) and `arousal'
Externí odkaz:
http://arxiv.org/abs/2310.12887
Fluent human-robot collaboration requires a robot teammate to understand, learn, and adapt to the human's psycho-physiological state. Such collaborations require a computing system that monitors human physiological signals during human-robot collabor
Externí odkaz:
http://arxiv.org/abs/2308.14644
In this work, we focus on multi-step manipulation tasks that involve long-horizon planning and considers progress reversal. Such tasks interlace high-level reasoning that consists of the expected states that can be attained to achieve an overall task
Externí odkaz:
http://arxiv.org/abs/2202.11280
Multi-step manipulation tasks in unstructured environments are extremely challenging for a robot to learn. Such tasks interlace high-level reasoning that consists of the expected states that can be attained to achieve an overall task and low-level re
Externí odkaz:
http://arxiv.org/abs/2103.01434
In this work, we present a deep reinforcement learning based method to solve the problem of robotic grasping using visio-motor feedback. The use of a deep learning based approach reduces the complexity caused by the use of hand-designed features. Our
Externí odkaz:
http://arxiv.org/abs/2007.04499
In this paper, we propose a simple methodology to detect the partial pose of a human occupying the manipulator work-space using only on-robot time--of--flight laser ranging sensors. The sensors are affixed on each link of the robot in a circular arra
Externí odkaz:
http://arxiv.org/abs/1909.09750
In this paper, we present a modular robotic system to tackle the problem of generating and performing antipodal robotic grasps for unknown objects from n-channel image of the scene. We propose a novel Generative Residual Convolutional Neural Network
Externí odkaz:
http://arxiv.org/abs/1909.04810
In this paper, a framework for monitoring human physiological response during Human-Robot Collaborative (HRC) task is presented. The framework highlights the importance of generation of event markers related to both human and robot, and also synchron
Externí odkaz:
http://arxiv.org/abs/1907.10782
Autor:
Kumar, Shitij, Sahin, Ferat
In this paper, an analysis of the sensing volume coverage of robot workspace as well as the shared human-robot collaborative workspace for various configurations of on-robot Time-of-Flight (ToF) sensor array rings is presented. A methodology for volu
Externí odkaz:
http://arxiv.org/abs/1907.02125