Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ganguly, Kanishka"'
Autor:
Ganguly, Kanishka, Mantripragada, Pavan, Parameshwara, Chethan M., Fermüller, Cornelia, Sanket, Nitin J., Aloimonos, Yiannis
Tactile sensing for robotics is achieved through a variety of mechanisms, including magnetic, optical-tactile, and conductive fluid. Currently, the fluid-based sensors have struck the right balance of anthropomorphic sizes and shapes and accuracy of
Externí odkaz:
http://arxiv.org/abs/2203.07290
Autor:
Ganguly, Kanishka, Sadrfaridpour, Behzad, Mantripragada, Pavan, Sanket, Nitin J., Fermüller, Cornelia, Aloimonos, Yiannis
Grasping and manipulating a wide variety of objects is a fundamental skill that would determine the success and wide spread adaptation of robots in homes. Several end-effector designs for robust manipulation have been proposed but they mostly work wh
Externí odkaz:
http://arxiv.org/abs/2011.00712
We present an end-to-end algorithm for training deep neural networks to grasp novel objects. Our algorithm builds all the essential components of a grasping system using a forward-backward automatic differentiation approach, including the forward kin
Externí odkaz:
http://arxiv.org/abs/2002.01530
Grasping objects requires tight integration between visual and tactile feedback. However, there is an inherent difference in the scale at which both these input modalities operate. It is thus necessary to be able to analyze tactile feedback in isolat
Externí odkaz:
http://arxiv.org/abs/1903.08248
We present a learning-based method for representing grasp poses of a high-DOF hand using neural networks. Due to redundancy in such high-DOF grippers, there exists a large number of equally effective grasp poses for a given target object, making it d
Externí odkaz:
http://arxiv.org/abs/1903.00425
When we physically interact with our environment using our hands, we touch objects and force them to move: contact and motion are defining properties of manipulation. In this paper, we present an active, bottom-up method for the detection of actor-ob
Externí odkaz:
http://arxiv.org/abs/1807.04870
Autor:
Sanket, Nitin J, Singh, Chahat Deep, Ganguly, Kanishka, Fermüller, Cornelia, Aloimonos, Yiannis
Although quadrotors, and aerial robots in general, are inherently active agents, their perceptual capabilities in literature so far have been mostly passive in nature. Researchers and practitioners today use traditional computer vision algorithms wit
Externí odkaz:
http://arxiv.org/abs/1802.05330
Autor:
Ganguly, Kanishka
A long-anticipated, yet hitherto unfilled goal in Robotics research has been to have robotic agents seamlessly integrating with humans in their natural environments, and performing useful tasks alongside humans. While tremendous progress has been mad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e9602545ec28e579c8327db26680d62
Publikováno v:
2016 International Conference on Advances in Computing, Communications & Informatics (ICACCI); 2016, p15-21, 7p
Autor:
Ganguly K; Perception and Robotics Group, University of Maryland, College Park, MD, United States., Mantripragada P; Perception and Robotics Group, University of Maryland, College Park, MD, United States., Parameshwara CM; Perception and Robotics Group, University of Maryland, College Park, MD, United States., Fermüller C; Perception and Robotics Group, University of Maryland, College Park, MD, United States., Sanket NJ; Perception and Robotics Group, University of Maryland, College Park, MD, United States., Aloimonos Y; Perception and Robotics Group, University of Maryland, College Park, MD, United States.
Publikováno v:
Frontiers in robotics and AI [Front Robot AI] 2022 Jun 17; Vol. 9, pp. 898075. Date of Electronic Publication: 2022 Jun 17 (Print Publication: 2022).