IROS

Botany-Bot: Digital Twin Monitoring of Occluded and Underleaf Plant Structures with Gaussian Splats

Simeon Adebola, Chung Min Kim, Justin Kerr, Shuangyu Xie, Prithvi Akella, Jose Luis Susa Rincon, Eugen Solowjow, Ken Goldberg

机构 * The AUTOLab at UC Berkeley（伯克利大学AUTOLab） ； Siemens Research Lab（西门子研究实验室） 纠错

Comments 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)

Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models

Katie Luo, Jingwei Ji, Tong He, Runsheng Xu, Yichen Xie, Dragomir Anguelov, Mingxing Tan

机构 * Computer and Information Sciences Department, Cornell University（康奈尔大学计算机与信息科学系） ； Waymo LLC（Waymo公司） ； UC Berkeley（伯克利大学） 纠错

Comments In proceedings of IROS 2025

Adaptive Invariant Extended Kalman Filter for Legged Robot State Estimation

Kyung-Hwan Kim, DongHyun Ahn, Dong-hyun Lee, JuYoung Yoon, Dong Jin Hyun

机构 * Robotics Lab, Research and Development Division, Hyundai Motor Company（机器人实验室，研发部门，现代汽车公司） 纠错

Comments 6 pages, accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025

Online automatic code generation for robot swarms: LLMs and self-organizing hierarchy

Weixu Zhu, Marco Dorigo, Mary Katherine Heinrich

Comments This abstract was accepted to and presented at the "Multi-Agent Cooperative Systems and Swarm Robotics in the Era of Generative AI" (MACRAI) workshop at the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)

A Novel Gripper with Semi-Peaucellier Linkage and Idle-Stroke Mechanism for Linear Pinching and Self-Adaptive Grasping

Haokai Ding, Wenzeng Zhang

Comments Accepted author manuscript (AAM) for IEEE/RSJ IROS 2025. 6 pages, 10 figures

Safe, Task-Consistent Manipulation with Operational Space Control Barrier Functions

Daniel Morton, Marco Pavone

机构 * Departments of Mechanical Engineering and Aeronautics & Astronautics, Stanford University（机械工程系和航空与航天系，斯坦福大学） 纠错

Comments To be presented at 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images

Rohit Menon, Nils Dengler, Sicong Pan, Gokul Krishna Chenchani, Maren Bennewitz

机构 * Humanoid Robots Lab and the Center for Robotics, University of Bonn（人形机器人实验室和机器人中心，波恩大学） ； Lamarr Institute, Bonn, Germany（拉马尔研究所，德国波恩） 纠错

Comments Submitted to IROS 2025 Conference