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pro vyhledávání: '"Lancaster, Patrick"'
Autor:
Higuera, Carolina, Sharma, Akash, Bodduluri, Chaithanya Krishna, Fan, Taosha, Lancaster, Patrick, Kalakrishnan, Mrinal, Kaess, Michael, Boots, Byron, Lambeta, Mike, Wu, Tingfan, Mukadam, Mustafa
In this work, we introduce general purpose touch representations for the increasingly accessible class of vision-based tactile sensors. Such sensors have led to many recent advances in robot manipulation as they markedly complement vision, yet soluti
Externí odkaz:
http://arxiv.org/abs/2410.24090
Robotic systems that aspire to operate in uninstrumented real-world environments must perceive the world directly via onboard sensing. Vision-based learning systems aim to eliminate the need for environment instrumentation by building an implicit und
Externí odkaz:
http://arxiv.org/abs/2309.14236
For certain manipulation tasks, object pose estimation from head-mounted cameras may not be sufficiently accurate. This is at least in part due to our inability to perfectly calibrate the coordinate frames of today's high degree of freedom robot arms
Externí odkaz:
http://arxiv.org/abs/2204.04330
Highly articulated organisms serve as blueprints for incredibly dexterous mechanisms, but building similarly capable robotic counterparts has been hindered by the difficulties of developing electromechanical actuators with both the high strength and
Externí odkaz:
http://arxiv.org/abs/2204.02460
Autor:
Lancaster, Patrick, Gyawali, Pratik, Mavrogiannis, Christoforos, Srinivasa, Siddhartha S., Smith, Joshua R.
During in-hand manipulation, robots must be able to continuously estimate the pose of the object in order to generate appropriate control actions. The performance of algorithms for pose estimation hinges on the robot's sensors being able to detect di
Externí odkaz:
http://arxiv.org/abs/2204.02371
Publikováno v:
IEEE Robotics and Automation Letters 5.2 (2020): 2094-2099
Benchmarks for robot manipulation are crucial to measuring progress in the field, yet there are few benchmarks that demonstrate critical manipulation skills, possess standardized metrics, and can be attempted by a wide array of robot platforms. To ad
Externí odkaz:
http://arxiv.org/abs/2202.07074
This project aims to motivate research in competitive human-robot interaction by creating a robot competitor that can challenge human users in certain scenarios such as physical exercise and games. With this goal in mind, we introduce the Fencing Gam
Externí odkaz:
http://arxiv.org/abs/2202.07068
Autor:
Srinivasa, Siddhartha S., Lancaster, Patrick, Michalove, Johan, Schmittle, Matt, Summers, Colin, Rockett, Matthew, Scalise, Rosario, Smith, Joshua R., Choudhury, Sanjiban, Mavrogiannis, Christoforos, Sadeghi, Fereshteh
We present MuSHR, the Multi-agent System for non-Holonomic Racing. MuSHR is a low-cost, open-source robotic racecar platform for education and research, developed by the Personal Robotics Lab in the Paul G. Allen School of Computer Science & Engineer
Externí odkaz:
http://arxiv.org/abs/1908.08031
Publikováno v:
In Injury June 2023 54(6):1416-1420
Akademický článek
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