Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Brahmbhatt, Samarth"'
Autor:
Müller, Matthias, Brahmbhatt, Samarth, Deka, Ankur, Leboutet, Quentin, Hafner, David, Koltun, Vladlen
We introduce OpenBot-Fleet, a comprehensive open-source cloud robotics system for navigation. OpenBot-Fleet uses smartphones for sensing, local compute and communication, Google Firebase for secure cloud storage and off-board compute, and a robust ye
Externí odkaz:
http://arxiv.org/abs/2405.07515
Autor:
Yang, Mengyu, Grady, Patrick, Brahmbhatt, Samarth, Vasudevan, Arun Balajee, Kemp, Charles C., Hays, James
How easy is it to sneak up on a robot? We examine whether we can detect people using only the incidental sounds they produce as they move, even when they try to be quiet. We collect a robotic dataset of high-quality 4-channel audio paired with 360 de
Externí odkaz:
http://arxiv.org/abs/2310.03743
Humans naturally exploit haptic feedback during contact-rich tasks like loading a dishwasher or stocking a bookshelf. Current robotic systems focus on avoiding unexpected contact, often relying on strategically placed environment sensors. Recently, c
Externí odkaz:
http://arxiv.org/abs/2301.12587
Autor:
Grady, Patrick, Collins, Jeremy A., Brahmbhatt, Samarth, Twigg, Christopher D., Tang, Chengcheng, Hays, James, Kemp, Charles C.
Soft robotic grippers facilitate contact-rich manipulation, including robust grasping of varied objects. Yet the beneficial compliance of a soft gripper also results in significant deformation that can make precision manipulation challenging. We pres
Externí odkaz:
http://arxiv.org/abs/2204.07268
Autor:
Grady, Patrick, Tang, Chengcheng, Brahmbhatt, Samarth, Twigg, Christopher D., Wan, Chengde, Hays, James, Kemp, Charles C.
People often interact with their surroundings by applying pressure with their hands. While hand pressure can be measured by placing pressure sensors between the hand and the environment, doing so can alter contact mechanics, interfere with human tact
Externí odkaz:
http://arxiv.org/abs/2203.10385
Autor:
Grady, Patrick, Tang, Chengcheng, Twigg, Christopher D., Vo, Minh, Brahmbhatt, Samarth, Kemp, Charles C.
Physical contact between hands and objects plays a critical role in human grasps. We show that optimizing the pose of a hand to achieve expected contact with an object can improve hand poses inferred via image-based methods. Given a hand mesh and an
Externí odkaz:
http://arxiv.org/abs/2104.07267
Grasping is natural for humans. However, it involves complex hand configurations and soft tissue deformation that can result in complicated regions of contact between the hand and the object. Understanding and modeling this contact can potentially im
Externí odkaz:
http://arxiv.org/abs/2007.09545
Humans excel at grasping objects and manipulating them. Capturing human grasps is important for understanding grasping behavior and reconstructing it realistically in Virtual Reality (VR). However, grasp capture - capturing the pose of a hand graspin
Externí odkaz:
http://arxiv.org/abs/1907.07388
Grasping and manipulating objects is an important human skill. Since hand-object contact is fundamental to grasping, capturing it can lead to important insights. However, observing contact through external sensors is challenging because of occlusion
Externí odkaz:
http://arxiv.org/abs/1904.06830