Zobrazeno 1 - 10
of 729
pro vyhledávání: '"Campbell, Katherine A"'
Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation
Autor:
Chakraborty, Neeloy, Fang, Yixiao, Schreiber, Andre, Ji, Tianchen, Huang, Zhe, Mihigo, Aganze, Wall, Cassidy, Almana, Abdulrahman, Driggs-Campbell, Katherine
Teleoperation is an important technology to enable supervisors to control agricultural robots remotely. However, environmental factors in dense crop rows and limitations in network infrastructure hinder the reliability of data streamed to teleoperato
Externí odkaz:
http://arxiv.org/abs/2409.09921
Autor:
Pouria, Fatemeh Cheraghi, Huang, Zhe, Yammanuru, Ananya, Liu, Shuijing, Driggs-Campbell, Katherine
We present Topology-Guided ORCA as an alternative simulator to replace ORCA for planning smooth multi-agent motions in environments with static obstacles. Despite the impressive performance in simulating multi-agent crowd motion in free space, ORCA e
Externí odkaz:
http://arxiv.org/abs/2407.16771
Real-time Advisory (RTA) systems, such as navigational and eco-driving assistants, are becoming increasingly ubiquitous in vehicles due to their benefits for users and society. Until autonomous vehicles mature, such advisory systems will continue to
Externí odkaz:
http://arxiv.org/abs/2407.13775
Autor:
Hasan, Aamir, Chakraborty, Neeloy, Chen, Haonan, Cho, Jung-Hoon, Wu, Cathy, Driggs-Campbell, Katherine
Fleets of autonomous vehicles can mitigate traffic congestion through simple actions, thus improving many socioeconomic factors such as commute time and gas costs. However, these approaches are limited in practice as they assume precise control over
Externí odkaz:
http://arxiv.org/abs/2407.00553
Autor:
Luo, Shengcheng, Peng, Quanquan, Lv, Jun, Hong, Kaiwen, Driggs-Campbell, Katherine Rose, Lu, Cewu, Li, Yong-Lu
Employing a teleoperation system for gathering demonstrations offers the potential for more efficient learning of robot manipulation. However, teleoperating a robot arm equipped with a dexterous hand or gripper, via a teleoperation system presents in
Externí odkaz:
http://arxiv.org/abs/2407.00299
Large Language Models (LLM) and Vision Language Models (VLM) enable robots to ground natural language prompts into control actions to achieve tasks in an open world. However, when applied to a long-horizon collaborative task, this formulation results
Externí odkaz:
http://arxiv.org/abs/2406.13787
Robotic grasping presents a difficult motor task in real-world scenarios, constituting a major hurdle to the deployment of capable robots across various industries. Notably, the scarcity of data makes grasping particularly challenging for learned mod
Externí odkaz:
http://arxiv.org/abs/2406.11786
Autor:
Schreiber, Andre, Sivakumar, Arun N., Du, Peter, Gasparino, Mateus V., Chowdhary, Girish, Driggs-Campbell, Katherine
Successful deployment of mobile robots in unstructured domains requires an understanding of the environment and terrain to avoid hazardous areas, getting stuck, and colliding with obstacles. Traversability estimation--which predicts where in the envi
Externí odkaz:
http://arxiv.org/abs/2406.02822
We investigate the feasibility of deploying reinforcement learning (RL) policies for constrained crowd navigation using a low-fidelity simulator. We introduce a representation of the dynamic environment, separating human and obstacle representations.
Externí odkaz:
http://arxiv.org/abs/2405.16830
Autonomous systems are soon to be ubiquitous, from manufacturing autonomy to agricultural field robots, and from health care assistants to the entertainment industry. The majority of these systems are developed with modular sub-components for decisio
Externí odkaz:
http://arxiv.org/abs/2403.16527