| 1 |
BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning |
BFM-Zero:基于无监督强化学习的可提示人形机器人行为基础模型 |
humanoid humanoid robot humanoid control |
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| 2 |
GraspView: Active Perception Scoring and Best-View Optimization for Robotic Grasping in Cluttered Environments |
GraspView:面向杂乱环境的基于主动感知评分和最佳视角优化的机器人抓取 |
manipulation grasping grasp |
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| 3 |
Learning Vision-Driven Reactive Soccer Skills for Humanoid Robots |
提出基于视觉的强化学习方法,用于人形机器人足球技能的反应式控制 |
humanoid humanoid robot reinforcement learning |
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| 4 |
Integrating Ergonomics and Manipulability for Upper Limb Postural Optimization in Bimanual Human-Robot Collaboration |
提出一种人机双臂协同搬运姿态优化方法,兼顾人体工效学与操作灵活性。 |
grasping grasp bi-manual |
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| 5 |
GentleHumanoid: Learning Upper-body Compliance for Contact-rich Human and Object Interaction |
GentleHumanoid:学习上肢柔顺性,实现人机和人机交互中的丰富接触 |
humanoid humanoid robot whole-body motion |
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| 6 |
Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning |
Isaac Lab:用于大规模多模态机器人学习的GPU加速仿真框架 |
whole-body control manipulation dexterous manipulation |
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| 7 |
ScheduleStream: Temporal Planning with Samplers for GPU-Accelerated Multi-Arm Task and Motion Planning & Scheduling |
提出ScheduleStream框架,通过GPU加速采样实现多臂机器人任务和运动规划与调度 |
humanoid humanoid robot bi-manual |
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| 8 |
X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations |
X-Diffusion:利用跨具身人类演示训练扩散策略,提升机器人操作性能 |
manipulation kinematic retargeting cross-embodiment |
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| 9 |
Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions |
提出基于高斯溅射的软体交互机器人策略Real2Sim评估框架 |
manipulation real2sim 3D gaussian splatting |
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| 10 |
ForeRobo: Unlocking Infinite Simulation Data for 3D Goal-driven Robotic Manipulation |
ForeRobo:利用生成式模拟数据驱动3D目标导向机器人操作 |
manipulation sim-to-real policy learning |
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| 11 |
Can Context Bridge the Reality Gap? Sim-to-Real Transfer of Context-Aware Policies |
提出上下文感知策略,提升强化学习中仿真到真实环境的迁移性能 |
sim-to-real domain randomization reinforcement learning |
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| 12 |
Enhancing Fault-Tolerant Space Computing: Guidance Navigation and Control (GNC) and Landing Vision System (LVS) Implementations on Next-Gen Multi-Core Processors |
针对深空探测,论文提出基于多核处理器的容错GNC/LVS系统,加速并保障计算可靠性。 |
trajectory optimization navigation |
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| 13 |
Unified Multimodal Diffusion Forcing for Forceful Manipulation |
提出多模态扩散强制(MDF)框架,用于力觉操作中的多模态轨迹学习与重建。 |
manipulation imitation learning |
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| 14 |
GraSP-VLA: Graph-based Symbolic Action Representation for Long-Horizon Planning with VLA Policies |
GraSP-VLA:基于图的符号动作表示用于VLA策略的长程规划 |
grasp imitation learning |
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| 15 |
CBMC-V3: A CNS-inspired Control Framework Towards Manipulation Agility with SNN |
提出基于SNN的CBMC-V3控制框架,提升机器人手臂在复杂环境中的操作灵活性。 |
manipulation reinforcement learning |
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| 16 |
Conformalized Non-uniform Sampling Strategies for Accelerated Sampling-based Motion Planning |
提出基于保角预测的非均匀采样策略,加速采样运动规划 |
motion planning |
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| 17 |
Dynamic Shape Control of Soft Robots Enabled by Data-Driven Model Reduction |
提出基于数据驱动模型降阶的软体机器人动态形状控制方法 |
model predictive control |
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