| 1 |
Before the Body Moves: Learning Anticipatory Joint Intent for Language-Conditioned Humanoid Control |
DAJI：学习语言条件下的拟人机器人控制的预判性关节意图 |
humanoid humanoid robot humanoid control |
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| 2 |
Hand-in-the-Loop: Improving Dexterous VLA via Seamless Interventional Correction |
提出HandITL，通过无缝介入修正提升灵巧VLA操作性能 |
manipulation dexterous manipulation bi-manual |
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| 3 |
Energy-Efficient Quadruped Locomotion with Compliant Feet |
通过柔顺足端优化四足机器人能效，提升步态效率 |
quadruped locomotion reinforcement learning |
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| 4 |
FU-MPC: Frontier- and Uncertainty-Aware Model Predictive Control for Efficient and Accurate UAV Exploration with Motorized LiDAR |
提出FU-MPC，利用可旋转激光雷达提升无人机在未知环境中的探索效率与定位精度 |
MPC model predictive control |
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| 5 |
IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation |
IntentVLA：面向混淆机器人操作的短时程意图建模 |
manipulation VLA multimodal |
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| 6 |
Learning Cross-Coupled and Regime Dependent Dynamics for Aerial Manipulation |
提出自适应残差动态学习框架，提升空中机械臂在复杂环境下的控制精度 |
manipulation MPC model predictive control |
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| 7 |
SOCC-ICP: Semantics-Assisted Odometry based on Occupancy Grids and ICP |
SOCC-ICP：基于语义占据栅格和ICP的语义辅助里程计，提升未知环境位姿估计。 |
motion planning occupancy grid |
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| 8 |
DSSP: Diffusion State Space Policy with Full-History Encoding |
提出DSSP以解决机器人操作中的历史依赖问题 |
manipulation imitation learning SSM |
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| 9 |
CoCo-InEKF: State Estimation with Learned Contact Covariances in Dynamic, Contact-Rich Scenarios |
CoCo-InEKF：利用学习的接触协方差实现动态、富接触场景下的状态估计 |
legged robot bipedal biped |
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| 10 |
Chrono-Gymnasium: An Open-Source, Gymnasium-Compatible Distributed Simulation Framework |
Chrono-Gymnasium：开源、兼容Gymnasium的分布式仿真框架，加速高精度物理仿真。 |
sim-to-real reinforcement learning |
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| 11 |
Diffusion Policy for Coordinated Control of a Nonholonomic Mobile Base and Dual Arms in Door Opening and Passing |
提出基于扩散策略的视觉运动控制方法，解决移动底座双臂机器人开门通行难题 |
locomotion manipulation dual-arm |
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| 12 |
HoloMotion-1 Technical Report |
HoloMotion-1：基于大规模混合运动数据的零样本全身运动跟踪 |
humanoid humanoid robot motion tracking |
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| 13 |
Residual Reinforcement Learning for Robot Teleoperation under Stochastic Delays |
提出延迟鲁棒残差强化学习，解决随机延迟下机器人遥操作问题 |
teleoperation reinforcement learning |
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