cs.RO(2025-10-05)

📊 共 10 篇论文

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支柱一:机器人控制 (Robot Control) (8) 支柱二:RL算法与架构 (RL & Architecture) (1) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一:机器人控制 (Robot Control) (8 篇)

#题目一句话要点标签🔗
1 Stability-Aware Retargeting for Humanoid Multi-Contact Teleoperation 提出基于质心稳定性的重定向方法,增强人型机器人遥操作的稳定性。 humanoid humanoid robot manipulation
2 Flexible Locomotion Learning with Diffusion Model Predictive Control 提出Diffusion-MPC,利用扩散模型预测控制实现腿式机器人灵活运动学习。 legged locomotion locomotion MPC
3 From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents 提出八种方法以提升数据驱动控制策略的安全性与效率 MPC model predictive control reinforcement learning
4 VBM-NET: Visual Base Pose Learning for Mobile Manipulation using Equivariant TransporterNet and GNNs VBM-NET:利用等变TransporterNet和GNN学习移动操作的视觉基座位姿 manipulation mobile manipulation sim-to-real
5 Learning to Capture Rocks using an Excavator: A Reinforcement Learning Approach with Guiding Reward Formulation 提出基于强化学习的挖掘机抓取石块方法,无需显式建模。 manipulation domain randomization reinforcement learning
6 SITCOM: Scaling Inference-Time COMpute for VLAs SITCOM:通过扩展推理时计算能力提升VLA模型在机器人控制中的性能 real2sim model predictive control vision-language-action
7 Reliable and Scalable Robot Policy Evaluation with Imperfect Simulators 提出SureSim框架以解决机器人策略评估的可靠性问题 manipulation imitation learning diffusion policy
8 Integrated Planning and Control on Manifolds: Factor Graph Representation and Toolkit 提出FactorMPC:基于因子图的流形上集成规划与控制工具包 MPC model predictive control motion planning

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
9 ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context ContextVLA:通过分摊多帧上下文的视觉-语言-动作模型,提升机器人任务性能。 behavior cloning vision-language-action VLA

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
10 Zenbo Patrol: A Social Assistive Robot Based on Multimodal Deep Learning for Real-time Illegal Parking Recognition and Notification 提出基于多模态深度学习的Zenbo巡逻机器人,用于实时识别和通知违章停车。 multimodal

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