Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Hayes, Bradley"'
Online Diffusion-Based 3D Occupancy Prediction at the Frontier with Probabilistic Map Reconciliation
Autonomous navigation and exploration in unmapped environments remains a significant challenge in robotics due to the difficulty robots face in making commonsense inference of unobserved geometries. Recent advancements have demonstrated that generati
Externí odkaz:
http://arxiv.org/abs/2409.10681
Publikováno v:
In AAMAS (pp. 1514-1523) 2023
The ability to shop independently, especially in grocery stores, is important for maintaining a high quality of life. This can be particularly challenging for people with visual impairments (PVI). Stores carry thousands of products, with approximatel
Externí odkaz:
http://arxiv.org/abs/2405.20501
We claim that LLMs can be paired with formal analysis methods to provide accessible, relevant feedback for HRI tasks. While logic specifications are useful for defining and assessing a task, these representations are not easily interpreted by non-exp
Externí odkaz:
http://arxiv.org/abs/2405.16344
The workforce will need to continually upskill in order to meet the evolving demands of industry, especially working with robotic and autonomous systems. Current training methods are not scalable and do not adapt to the skills that learners already p
Externí odkaz:
http://arxiv.org/abs/2405.15982
Autor:
Reed, Alec, Crowe, Brendan, Albin, Doncey, Achey, Lorin, Hayes, Bradley, Heckman, Christoffer
When exploring new areas, robotic systems generally exclusively plan and execute controls over geometry that has been directly measured. When entering space that was previously obstructed from view such as turning corners in hallways or entering new
Externí odkaz:
http://arxiv.org/abs/2403.11985
Understanding human intentions is critical for safe and effective human-robot collaboration. While state of the art methods for human goal prediction utilize learned models to account for the uncertainty of human motion data, that data is inherently
Externí odkaz:
http://arxiv.org/abs/2401.12965
Understanding the intentions of human teammates is critical for safe and effective human-robot interaction. The canonical approach for human-aware robot motion planning is to first predict the human's goal or path, and then construct a robot plan tha
Externí odkaz:
http://arxiv.org/abs/2311.05562
Task assignment and scheduling algorithms are powerful tools for autonomously coordinating large teams of robotic or AI agents. However, the decisions these system make often rely on components designed by domain experts, which can be difficult for n
Externí odkaz:
http://arxiv.org/abs/2311.00153
Kitting refers to the task of preparing and grouping necessary parts and tools (or "kits") for assembly in a manufacturing environment. Automating this process simplifies the assembly task for human workers and improves efficiency. Existing automated
Externí odkaz:
http://arxiv.org/abs/2209.08387
This paper presents a hybrid online Partially Observable Markov Decision Process (POMDP) planning system that addresses the problem of autonomous navigation in the presence of multi-modal uncertainty introduced by other agents in the environment. As
Externí odkaz:
http://arxiv.org/abs/2206.10028