Bracing for Impact: Robust Humanoid Push Recovery and Locomotion with Reduced Order Models

Autors: Yang, Lizhi, Werner, Blake, Ghansah, Adrian B., Ames, Aaron D.

Matèria: Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11495

SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics

Autors: Yang, Lizhi, Werner, Blake, Cosner, Ryan K., Fridovich-Keil, David, Culbertson, Preston, Ames, Aaron D.

Matèria: Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11494

UMArm: Untethered, Modular, Wearable, Soft Pneumatic Arm

Autors: Zuo, Runze, Han, Dong Heon, Li, Richard, Jamal, Saima, Bruder, Daniel

Matèria: Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11476

REACT: Runtime-Enabled Active Collision-avoidance Technique for Autonomous Driving

Autors: Huang, Heye, Cheng, Hao, Zhou, Zhiyuan, Wang, Zijin, Liu, Qichao, Li, Xiaopeng

Matèria: Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control

URL d'accés: http://arxiv.org/abs/2505.11474

Exploiting Radiance Fields for Grasp Generation on Novel Synthetic Views

Autors: Kashyap, Abhishek, Andreasson, Henrik, Stoyanov, Todor

Matèria: Computer Science - Robotics, Computer Science - Computer Vision and Pattern Recognition

URL d'accés: http://arxiv.org/abs/2505.11467

SurgPose: Generalisable Surgical Instrument Pose Estimation using Zero-Shot Learning and Stereo Vision

Autors: Rai, Utsav, Xu, Haozheng, Giannarou, Stamatia

Matèria: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11439

Self-supervised perception for tactile skin covered dexterous hands

Autors: Sharma, Akash, Higuera, Carolina, Bodduluri, Chaithanya Krishna, Liu, Zixi, Fan, Taosha, Hellebrekers, Tess, Lambeta, Mike, Boots, Byron, Kaess, Michael, Wu, Tingfan, Hogan, Francois Robert, Mukadam, Mustafa

Matèria: Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11420

Decoupling Collision Avoidance in and for Optimal Control using Least-Squares Support Vector Machines

Autors: Dirckx, Dries, Decré, Wilm, Swevers, Jan

Matèria: Mathematics - Optimization and Control, Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11376

Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation

Autors: Wang, Zihan, Lee, Seungjun, Lee, Gim Hee

Matèria: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11383

Learning Multimodal AI Algorithms for Amplifying Limited User Input into High-dimensional Control Space

Autors: Rabiee, Ali, Ghafoori, Sima, Farhadi, MH, Beyer, Robert, Bai, Xiangyu, Lin, David J, Ostadabbas, Sarah, Abiri, Reza

Matèria: Computer Science - Robotics, Computer Science - Human-Computer Interaction, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control

URL d'accés: http://arxiv.org/abs/2505.11366

Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild

Autors: Tan, Derek Ming Siang, Shailesh, Liu, Boyang, Raj, Alok, Ang, Qi Xuan, Dai, Weiheng, Duhan, Tanishq, Chiun, Jimmy, Cao, Yuhong, Shkurti, Florian, Sartoretti, Guillaume

Matèria: Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11350

LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios

Autors: Peng, Mingxing, Xie, Yuting, Guo, Xusen, Yao, Ruoyu, Yang, Hai, Ma, Jun

Matèria: Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11247

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions

Autors: Zhao, Wei, Li, Gongsheng, Gong, Zhefei, Ding, Pengxiang, Zhao, Han, Wang, Donglin

Matèria: Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11214

Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration

Autors: Borazjani, Kasra, Abdisarabshali, Payam, Nadimi, Fardis, Khosravan, Naji, Liwang, Minghui, Wang, Xianbin, Hong, Yiguang, Hosseinalipour, Seyyedali

Matèria: Computer Science - Artificial Intelligence, Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11191

Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition

Autors: Yue, Bo, Guo, Shuqi, Hu, Kaiyu, Wang, Chujiao, Wang, Benyou, Jia, Kui, Liu, Guiliang

Matèria: Computer Science - Robotics, Computer Science - Artificial Intelligence

URL d'accés: http://arxiv.org/abs/2505.11175

Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning

Autors: Rudin, Nikita, He, Junzhe, Aurand, Joshua, Hutter, Marco

Matèria: Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11164

X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid Imitation

Autors: Li, Peizhen, Cao, Longbing, Wu, Xiao-Ming, Yang, Runze, Yu, Xiaohan

Matèria: Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction

URL d'accés: http://arxiv.org/abs/2505.11146

Open-Source Multi-Viewpoint Surgical Telerobotics

Autors: Caccianiga, Guido, Sharon, Yarden, Javot, Bernard, Polikovsky, Senya, Ergün, Gökce, Capobianco, Ivan, Mihaljevic, André L., Deguet, Anton, Kuchenbecker, Katherine J.

Matèria: Computer Science - Robotics, Computer Science - Computer Vision and Pattern Recognition

URL d'accés: http://arxiv.org/abs/2505.11142

Reinforcement Learning for AMR Charging Decisions: The Impact of Reward and Action Space Design

Autors: Bischoff, Janik, Rinciog, Alexandru, Meyer, Anne

Matèria: Computer Science - Artificial Intelligence, Computer Science - Robotics

URL d'accés: http://arxiv.org/abs/2505.11136

Conditioning Matters: Training Diffusion Policies is Faster Than You Think

Autors: Dong, Zibin, Liu, Yicheng, Li, Yinchuan, Zhao, Hang, Hao, Jianye

Matèria: Computer Science - Robotics, Computer Science - Artificial Intelligence

URL d'accés: http://arxiv.org/abs/2505.11123