BrickSim is a physics-based simulator for real-time simulation of brick assemblies, achieving 100% accuracy.

Haowei Wen, Ruixuan Liu, Weiyi Piao et al.

Achieved superior drone interception using PPO-based competitive reinforcement learning with high catch rates.

Timothée Gavin, Simon Lacroix, Murat Bronz

PRIMO R1 transforms video MLLMs into active 'Critics' using reinforcement learning, achieving 67.0% accuracy on RoboFail benchmark.

Yibin Liu, Yaxing Lyu, Daqi Gao et al.

Proposed a feasibility-enhanced control barrier function method, significantly reducing infeasibility and improving collision avoidance in multi-UAV scenarios.

Qishen Zhong, Junlong Wu, Jian Yang et al.

Qwen2.5-VL excels in spatial reasoning for robot motion with 71.4% zero-shot accuracy.

Wenxi Wu, Jingjing Zhang, Martim Brandão

SldprtNet is a large-scale multimodal dataset with 242,000 industrial parts for semantic-driven CAD modeling.

Ruogu Li, Sikai Li, Yao Mu et al.

Significantly reduces manipulator end-effector deviation under cyberattacks using a novel active defense method.

Gabriele Gualandi, Alessandro V. Papadopoulos

Through resource-centric route fragmentation, improve multi-robot path planning efficiency in agricultural environments, achieving 95% task throughput.

James R. Heselden, Gautham P. Das

$Ψ_0$ model achieves 40% performance improvement using only 800 hours of human video and 30 hours of robot data.

Songlin Wei, Hongyi Jing, Boqian Li et al.

HumDex system uses IMU tracking and learning methods for portable humanoid dexterous manipulation, enhancing data collection efficiency and generalization.

Liang Heng, Yihe Tang, Jiajun Xu et al.

ComFree-Sim is a GPU-parallelized contact physics engine achieving near-linear scaling in contact-rich scenarios, with 2-3x throughput improvement.

Chetan Borse, Zhixian Xie, Wei-Cheng Huang et al.

Proposed dynamic modeling and gravity compensation for dVRK-Si PSM, reducing joint errors by 68-84%.

Haoying Zhou, Hao Yang, Brendan Burkhart et al.

Proposed a decentralized cooperative localization framework with asynchronous sensor fusion, achieving 34% RMSE reduction.

Nivand Khosravi, Niusha Khosravi, Mohammad Bozorg et al.