| 1 |
URF: A Unified Robot Control-Policy Framework for Stable Contact Aware Manipulation |
提出统一机器人控制策略框架URF以解决接触稳定性问题 |
motion tracking manipulation contact-aware |
✅ |
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| 2 |
AXIS: A Growable Community-Driven Data Engine for Scalable Robot Manipulation |
提出AXIS以解决机器人操作数据收集与处理的可扩展性问题 |
manipulation teleoperation vision-language-action |
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| 3 |
GS-Agent: Creating 4D Physical Worlds With Generative Simulation |
提出GS-Agent以自动生成动态物理4D世界 |
manipulation physically plausible foundation model |
✅ |
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| 4 |
GuidedAttention: Interpretable and Correctable Visual Attention for OOD-Robust Robot Manipulation via Imitation Learning |
提出GuidedAttention以解决机器人操作中的可解释性与纠正性问题 |
manipulation imitation learning |
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| 5 |
Deep Reinforcement-Learning-Guided Model Predictive Control for Preventing Overtakes in Autonomous Racing |
提出深度强化学习引导的模型预测控制以防止自动赛车超车 |
model predictive control reinforcement learning |
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| 6 |
Grasp, Handover, Rotate: Bimanual Object Reorientation via Compositional Diffusion and Energy-Based Optimization |
提出BiCompoDiff以解决双手物体重新定向问题 |
bi-manual sim-to-real motion planning |
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| 7 |
FORGE-plus: Force-Budgeted Recovery for Contact-Rich Assembly with a Frozen LLM Supervisor |
提出FORGE-plus以解决接触丰富装配中的力预算恢复问题 |
sim-to-real reinforcement learning PPO |
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| 8 |
TableVerse: A Large-scale Tabletop Dataset with Real-world Grounded Layouts for Generalizable Manipulation |
提出TableVerse以解决机器人操作中的数据不足问题 |
manipulation real2sim |
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| 9 |
Scale Up Strategically: Learning Compositional Generalization via Bias-Aware Evaluation and Data Collection for Robotic Manipulation |
提出偏差感知评估与数据收集策略以提升机器人操作的组合泛化能力 |
manipulation policy learning |
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| 10 |
Distributed Model-Based Diffusion For Scalable Multi-Robot Trajectory Optimization |
提出分布式模型基础扩散以解决多机器人轨迹优化问题 |
trajectory optimization |
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| 11 |
ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments |
提出ZONDA框架以解决多层环境中的零-shot物体导航问题 |
biped |
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| 12 |
Addressing the Orchestration Gap in Generalist Robots via Physical Agency |
提出物理代理以解决通用机器人中的协调差距问题 |
manipulation vision-language-action VLA |
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| 13 |
GuidedAttention: Interpretable and Correctable Visual Attention for OOD-Robust Robot Manipulation via Imitation Learning |
提出GuidedAttention以解决机器人操作中的可解释性与纠正性问题 |
manipulation imitation learning |
✅ |
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