cs.RO（2024-12-12）

📊 共 14 篇论文 | 🔗 1 篇有代码

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支柱一：机器人控制 (Robot Control) (10 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (4)

🔬 支柱一：机器人控制 (Robot Control) (10 篇)

#题目一句话要点标签🔗⭐
1 GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains GainAdaptor：通过双Actor学习四足机器人运动，实现地形自适应和节能行走 quadruped legged robot locomotion
2 Learning to Adapt through Bio-Inspired Gait Strategies for Versatile Quadruped Locomotion 提出一种生物启发式步态策略，提升四足机器人复杂地形的适应性 quadruped legged robot locomotion
3 Should We Learn Contact-Rich Manipulation Policies from Sampling-Based Planners? 提出基于采样的规划器改进方法，提升接触丰富操作策略学习效果 manipulation dexterous manipulation motion planning
4 BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics 提出基于分支定界和神经动力学的长程运动规划方法，解决复杂操作任务中的轨迹优化问题。 manipulation trajectory optimization motion planning
5 Motor Imagery Teleoperation of a Mobile Robot Using a Low-Cost Brain-Computer Interface for Multi-Day Validation 提出基于低成本脑机接口和深度神经网络的运动想象遥操作移动机器人方法 quadruped teleoperation
6 Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer 提出融合强化学习的机器人架构，解决RoboCup SPL中复杂决策问题并赢得比赛。 sim2real reinforcement learning
7 α-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function 提出基于近势函数的α-RACER算法，用于自动驾驶赛车中的博弈论运动规划与控制 motion planning
8 EMATO: Energy-Model-Aware Trajectory Optimization for Autonomous Driving 提出EMATO，一种能量模型感知的自动驾驶轨迹优化方法 trajectory optimization
9 Student-Informed Teacher Training 提出Student-Informed Teacher Training，解决部分可观测性下的模仿学习问题 manipulation imitation learning teacher-student
10 NormalFlow: Fast, Robust, and Accurate Contact-based Object 6DoF Pose Tracking with Vision-based Tactile Sensors NormalFlow：基于视觉触觉的快速、鲁棒、精确的物体6DoF位姿跟踪 manipulation in-hand manipulation ✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗⭐
11 Diffusion Predictive Control with Constraints 提出扩散预测控制算法以解决动态约束问题 policy learning diffusion policy multimodal
12 Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillation 提出SDM Policy，通过匹配蒸馏加速视觉运动策略，实现高频控制任务。 policy learning distillation
13 Distributional Reinforcement Learning based Integrated Decision Making and Control for Autonomous Surface Vehicles 提出基于分布强化学习的自主水面艇集成决策与控制系统，解决复杂水域导航难题。 reinforcement learning
14 Reconfigurable Intelligent Surface for Internet of Robotic Things 提出RIS辅助的IoRT网络，通过联合优化提升机器人通信、感知、计算和能量效率。 reinforcement learning deep reinforcement learning

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