| 1 |
Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups |
提出一种可扩展的Real2Sim流程，通过机器人交互自动生成物理感知的仿真资产。 |
manipulation real2sim gaussian splatting |
✅ |
|
| 2 |
Actor-Critic Cooperative Compensation to Model Predictive Control for Off-Road Autonomous Vehicles Under Unknown Dynamics |
提出Actor-Critic协同补偿MPC，解决未知动力学下无人越野车辆控制问题 |
model predictive control reinforcement learning deep reinforcement learning |
|
|
| 3 |
Space-Time Graphs of Convex Sets for Multi-Robot Motion Planning |
提出时空凸集图ST-GCS，解决复杂环境下多机器人运动规划问题 |
motion planning spatiotemporal |
|
|
| 4 |
Flying on Point Clouds with Reinforcement Learning |
提出基于点云和强化学习的无人机自主飞行方法，实现复杂环境下的安全导航 |
sim-to-real reinforcement learning |
|
|
| 5 |
Sampling-Based Motion Planning with Discrete Configuration-Space Symmetries |
利用离散构型空间对称性改进采样运动规划算法 |
motion planning |
|
|
| 6 |
HGDiffuser: Efficient Task-Oriented Grasp Generation via Human-Guided Grasp Diffusion Models |
HGDiffuser：通过人类引导的抓取扩散模型实现高效的面向任务的抓取生成 |
manipulation |
|
|