| 1 |
UniBYD: A Unified Framework for Learning Robotic Manipulation Across Embodiments Beyond Imitation of Human Demonstrations |
UniBYD：统一框架，超越人类模仿，学习跨形态机器人操作 |
manipulation reinforcement learning PPO |
✅ |
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| 2 |
Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots |
Bench-Push：移动机器人推碰式导航与操作任务的统一基准测试平台 |
manipulation navigation |
✅ |
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| 3 |
A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach |
提出数据驱动的最优控制范式，融合经典控制与机器学习解决自动驾驶运动规划难题 |
motion planning reinforcement learning imitation learning |
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| 4 |
AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data Synthesis |
AnchorDream：利用视频扩散模型进行具身感知机器人数据合成 |
sim-to-real teleoperation policy learning |
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| 5 |
Towards Logic-Aware Manipulation: A Knowledge Primitive for VLM-Based Assistants in Smart Manufacturing |
提出面向逻辑的操纵知识基元，增强VLM在智能制造中的辅助能力 |
manipulation |
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| 6 |
Agile Flight Emerges from Multi-Agent Competitive Racing |
基于多智能体竞争强化学习，实现无人机敏捷飞行与策略博弈 |
sim-to-real reinforcement learning |
✅ |
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| 7 |
BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Models |
BLURR：一种加速VLA模型低资源推理的轻量级封装器 |
manipulation |
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| 8 |
Cross-Entropy Optimization of Physically Grounded Task and Motion Plans |
提出基于交叉熵优化的物理引擎驱动的任务与运动规划方法 |
manipulation |
✅ |
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