Zobrazeno 1 - 10
of 504
pro vyhledávání: '"Sukhatme, Gaurav S"'
With the increasing availability of open-source robotic data, imitation learning has emerged as a viable approach for both robot manipulation and locomotion. Currently, large generalized policies are trained to predict controls or trajectories using
Externí odkaz:
http://arxiv.org/abs/2410.14040
Autor:
Batra, Sumeet, Sukhatme, Gaurav S.
Generalizing vision-based reinforcement learning (RL) agents to novel environments remains a difficult and open challenge. Current trends are to collect large-scale datasets or use data augmentation techniques to prevent overfitting and improve downs
Externí odkaz:
http://arxiv.org/abs/2410.07441
Multi-robot collaboration for target tracking presents significant challenges in hazardous environments, including addressing robot failures, dynamic priority changes, and other unpredictable factors. Moreover, these challenges are increased in adver
Externí odkaz:
http://arxiv.org/abs/2409.11230
Autor:
Tang, Bingjie, Akinola, Iretiayo, Xu, Jie, Wen, Bowen, Handa, Ankur, Van Wyk, Karl, Fox, Dieter, Sukhatme, Gaurav S., Ramos, Fabio, Narang, Yashraj
Robotic assembly for high-mixture settings requires adaptivity to diverse parts and poses, which is an open challenge. Meanwhile, in other areas of robotics, large models and sim-to-real have led to tremendous progress. Inspired by such work, we pres
Externí odkaz:
http://arxiv.org/abs/2407.08028
Autor:
Shi, Guangyao, Sukhatme, Gaurav S.
We consider a new variant of the multi-robot task allocation problem - Inverse Risk-sensitive Multi-Robot Task Allocation (IR-MRTA). "Forward" MRTA - the process of deciding which robot should perform a task given the reward (cost)-related parameters
Externí odkaz:
http://arxiv.org/abs/2406.10199
Placement of electromagnetic signal emitting devices, such as light sources, has important usage in for signal coverage tasks. Automatic placement of these devices is challenging because of the complex interaction of the signal and environment due to
Externí odkaz:
http://arxiv.org/abs/2405.02719
Multi-robot target tracking finds extensive applications in different scenarios, such as environmental surveillance and wildfire management, which require the robustness of the practical deployment of multi-robot systems in uncertain and dangerous en
Externí odkaz:
http://arxiv.org/abs/2404.07880
Autor:
Shi, Guangyao, Sukhatme, Gaurav S.
We consider a new type of inverse combinatorial optimization, Inverse Submodular Maximization (ISM), for human-in-the-loop multi-robot coordination. Forward combinatorial optimization, defined as the process of solving a combinatorial problem given t
Externí odkaz:
http://arxiv.org/abs/2403.10991
Routing problems are common in mobile robotics, encompassing tasks such as inspection, surveillance, and coverage. Depending on the objective and constraints, these problems often reduce to variants of the Traveling Salesman Problem (TSP), with solut
Externí odkaz:
http://arxiv.org/abs/2403.10795
On-policy reinforcement learning (RL) has become a popular framework for solving sequential decision problems due to its computational efficiency and theoretical simplicity. Some on-policy methods guarantee every policy update is constrained to a tru
Externí odkaz:
http://arxiv.org/abs/2312.05405