| 1 |
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation |
提出Code-as-Symbolic-Planner,利用代码生成提升LLM在机器人任务规划中的能力。 |
motion planning large language model foundation model |
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| 2 |
Discrete-Time Hybrid Automata Learning: Legged Locomotion Meets Skateboarding |
提出DHAL框架,解决无轨迹分割的离散时间混合自动机学习问题,应用于四足机器人滑板任务。 |
quadruped legged robot legged locomotion |
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| 3 |
Few-shot Sim2Real Based on High Fidelity Rendering with Force Feedback Teleoperation |
提出基于高保真渲染与力反馈遥操作的少样本Sim2Real方法 |
manipulation sim-to-real sim2real |
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| 4 |
Impact of Static Friction on Sim2Real in Robotic Reinforcement Learning |
提出静摩擦感知域随机化方法,提升机器人强化学习Sim2Real在复杂地形的适应性 |
locomotion sim2real domain randomization |
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| 5 |
RoboDexVLM: Visual Language Model-Enabled Task Planning and Motion Control for Dexterous Robot Manipulation |
RoboDexVLM:基于视觉语言模型实现灵巧机器人操作的任务规划与运动控制 |
manipulation dexterous hand dexterous manipulation |
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| 6 |
A Taxonomy for Evaluating Generalist Robot Manipulation Policies |
提出STAR-Gen:通用机器人操作策略评估分类法,并提供可复现的基准测试指南 |
manipulation bi-manual vision-language-action |
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| 7 |
FRMD: Fast Robot Motion Diffusion with Consistency-Distilled Movement Primitives for Smooth Action Generation |
提出FRMD:结合运动基元与一致性蒸馏的快速机器人运动扩散模型,实现平滑动作生成。 |
manipulation distillation motion diffusion |
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| 8 |
CorrA: Leveraging Large Language Models for Dynamic Obstacle Avoidance of Autonomous Vehicles |
CorrA:利用大语言模型实现自动驾驶车辆的动态避障 |
MPC model predictive control large language model |
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| 9 |
TacCap: A Wearable FBG-Based Tactile Sensor for Seamless Human-to-Robot Skill Transfer |
TacCap:一种用于无缝人-机器人技能迁移的可穿戴FBG触觉传感器 |
manipulation dexterous manipulation human-to-robot |
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| 10 |
AVR: Active Vision-Driven Precise Robot Manipulation with Viewpoint and Focal Length Optimization |
AVR:主动视觉驱动的精确机器人操作,优化视角和焦距 |
manipulation bi-manual teleoperation |
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| 11 |
SIMS: Surgeon-Intention-driven Motion Scaling for Efficient and Precise Teleoperation |
提出基于外科医生意图的运动缩放系统SIMS,提升遥操作手术的效率和精度。 |
manipulation dual-arm teleoperation |
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| 12 |
KineSoft: Learning Proprioceptive Manipulation Policies with Soft Robot Hands |
KineSoft:利用软体机器人手的本体感受学习操作策略 |
manipulation dexterous manipulation imitation learning |
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| 13 |
FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction |
提出FABG,通过端到端模仿学习实现具身情感人机交互中自然流畅的面部情感行为生成。 |
humanoid humanoid robot imitation learning |
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| 14 |
FLAME: A Federated Learning Benchmark for Robotic Manipulation |
提出FLAME:一个用于机器人操作的联邦学习基准测试平台 |
manipulation policy learning |
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| 15 |
Exo-ViHa: A Cross-Platform Exoskeleton System with Visual and Haptic Feedback for Efficient Dexterous Skill Learning |
Exo-ViHa:用于灵巧技能学习的跨平台视觉触觉反馈外骨骼系统 |
manipulation dexterous hand dexterous manipulation |
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| 16 |
Diffusion Stabilizer Policy for Automated Surgical Robot Manipulations |
提出基于扩散稳定器策略(DSP)的自动手术机器人操作方法,提升轨迹扰动下的鲁棒性。 |
manipulation policy learning |
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| 17 |
Ground contact and reaction force sensing for linear policy control of quadruped robot |
通过增强观测空间,提升四足机器人线性策略控制在复杂地形的适应性和稳定性 |
quadruped reinforcement learning |
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| 18 |
NavG: Risk-Aware Navigation in Crowded Environments Based on Reinforcement Learning with Guidance Points |
NavG:基于强化学习与引导点的拥挤环境风险感知导航 |
motion planning reinforcement learning |
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| 19 |
Catching Spinning Table Tennis Balls in Simulation with End-to-End Curriculum Reinforcement Learning |
提出基于课程强化学习的乒乓球机器人控制方法,解决高速旋转球的接球问题 |
real2sim reinforcement learning |
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| 20 |
TACO: General Acrobatic Flight Control via Target-and-Command-Oriented Reinforcement Learning |
提出TACO框架,通过目标与指令导向强化学习实现通用无人机特技飞行控制 |
sim-to-real reinforcement learning |
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| 21 |
Design and Development of a Locomotion Interface for Virtual Reality Lower-Body Haptic Interaction |
设计ForceBot下肢触觉交互 locomotion 接口,实现VR中行走和地形交互 |
locomotion |
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| 22 |
Optimal Trajectory Planning for Cooperative Manipulation with Multiple Quadrotors Using Control Barrier Functions |
提出基于控制屏障函数的多无人机协同操作轨迹优化算法,解决复杂环境下的安全操作问题。 |
manipulation |
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| 23 |
Interactive Navigation for Legged Manipulators with Learned Arm-Pushing Controller |
针对腿式机械臂,提出基于强化学习的交互式导航方法,解决狭窄空间操作难题。 |
manipulation reinforcement learning |
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| 24 |
Aerial Gym Simulator: A Framework for Highly Parallelized Simulation of Aerial Robots |
提出Aerial Gym:一个用于无人机高并行仿真与渲染的框架 |
sim2real reinforcement learning |
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| 25 |
No Plan but Everything Under Control: Robustly Solving Sequential Tasks with Dynamically Composed Gradient Descent |
提出动态梯度下降方法,无需规划即可稳健解决序列任务 |
manipulation |
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