视觉与机器人

机器人 / 具身智能

机器人、具身智能、机器人学习、操作、导航和具身世界模型。

2025-10-06 至 2025-10-06 共收录 4 篇信号源：cs.RO, cs.AI, cs.CV, cs.LG

1. 模仿学习与强化学习 4 篇

2503.01837 2025-10-06 cs.LG cs.CV cs.RO 90%

Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning

Adrià López Escoriza, Nicklas Hansen, Stone Tao, Tongzhou Mu, Hao Su

机构 * University of California San Diego（加州大学圣迭戈分校）； ETH Zürich, Switzerland（苏黎世联邦理工学院）

专题命中模仿学习与强化学习：manipulation(title,abstract)；world model(title,abstract)；robotic(abstract)；分类 cs.RO、cs.CV、cs.LG

Comments Project page can be found at https://adrialopezescoriza.github.io/demo3/

Journal ref ICML 2025

2504.00907 2025-10-06 cs.AI 79%

Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning

Ram Ramrakhya, Matthew Chang, Xavier Puig, Ruta Desai, Zsolt Kira, Roozbeh Mottaghi

机构 * Georgia Institute of Technology（佐治亚理工学院）； Meta FAIR

专题命中模仿学习与强化学习：embodied agent(title,abstract)；分类 cs.AI

2510.01456 2025-10-06 cs.LG 70%

SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion

Brett Barkley, Preston Culbertson, David Fridovich-Keil

机构 * Department of Electrical and Computer Engineering（电气与计算机工程系）； The University of Texas at Austin（德克萨斯大学奥斯汀分校）； Department of Computer Science（计算机科学系）； Cornell University（康奈尔大学）； Department of Aerospace Engineering and Engineering Mechanics（航空航天工程与工程力学系）

专题命中模仿学习与强化学习：robotics(abstract)；robotic(abstract)；分类 cs.LG

2503.02075 2025-10-06 cs.RO cs.LG cs.SY eess.SY 62%

Active Alignments of Lens Systems with Reinforcement Learning

Matthias Burkhardt, Tobias Schmähling, Pascal Stegmann, Michael Layh, Tobias Windisch

机构 * Institute for Machine Vision, University of Applied Sciences Kempten（机器视觉研究所，应用科技大学凯普腾）

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.LG

Comments This work has been submitted to the IEEE for possible publication