| 1 |
Dynamic Whole-Body Dancing with Humanoid Robots -- A Model-Based Control Approach |
提出基于模型的控制框架,实现人形机器人的动态全身舞蹈动作生成与执行 |
humanoid humanoid robot MPC |
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| 2 |
RK-MPC: Residual Koopman Model Predictive Control for Quadruped Locomotion in Offroad Environments |
提出RK-MPC:基于残差Koopman模型的四足机器人越野环境模型预测控制 |
quadruped locomotion MPC |
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| 3 |
ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration |
提出ROSClaw框架,用于异构多智能体协作,弥合语义理解与物理执行的鸿沟。 |
manipulation sim-to-real policy learning |
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| 4 |
PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation |
PALM:基于可供性推理和进度感知策略学习的长程机器人操作 |
manipulation policy learning affordance |
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| 5 |
ST-BiBench: Benchmarking Multi-Stream Multimodal Coordination in Bimanual Embodied Tasks for MLLMs |
ST-BiBench:用于评估MLLM在双臂操作任务中多模态协调能力的基准测试框架 |
bi-manual embodied AI large language model |
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| 6 |
CRAFT: Video Diffusion for Bimanual Robot Data Generation |
CRAFT:利用视频扩散模型生成双臂机器人操作数据,提升泛化性 |
manipulation bi-manual dual-arm |
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| 7 |
Veo-Act: How Far Can Frontier Video Models Advance Generalizable Robot Manipulation? |
Veo-Act:探索前沿视频模型在通用机器人操作中的潜力 |
manipulation dexterous hand physically plausible |
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| 8 |
Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving |
Sim2Real-AD:用于VLM引导强化学习在真实自动驾驶中零样本迁移的模块化框架 |
sim-to-real sim2real reinforcement learning |
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| 9 |
Drift-Based Policy Optimization: Native One-Step Policy Learning for Online Robot Control |
提出基于漂移策略优化(DBPO)的单步生成策略,用于在线机器人控制。 |
manipulation dual-arm reinforcement learning |
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| 10 |
Watch Your Step: Learning Semantically-Guided Locomotion in Cluttered Environment |
提出SemLoco框架,解决腿足机器人复杂环境下的语义引导安全运动问题 |
legged robot locomotion reinforcement learning |
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| 11 |
From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation |
提出FSD模型,通过空间关系推理提升机器人操作的泛化性和零样本性能 |
manipulation spatial relationship vision-language-action |
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| 12 |
Adaptive Action Chunking at Inference-time for Vision-Language-Action Models |
提出自适应动作分块策略,提升视觉-语言-动作模型在机器人操作任务中的性能。 |
manipulation vision-language-action VLA |
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| 13 |
Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control |
提出可操纵的视觉-语言-动作策略,用于具身推理和分层控制 |
manipulation vision-language-action VLA |
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| 14 |
Allometric Scaling Laws for Bipedal Robots |
针对双足机器人,提出异速生长比例定律建模方法,优化不同尺寸机器人设计。 |
legged robot bipedal biped |
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| 15 |
Empowering Multi-Robot Cooperation via Sequential World Models |
提出序列世界模型SeqWM,解决多机器人协作中联合动力学建模难题。 |
quadruped reinforcement learning world model |
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| 16 |
PlayWorld: Learning Robot World Models from Autonomous Play |
PlayWorld:通过自主玩耍学习机器人世界模型,提升物理交互预测能力 |
manipulation reinforcement learning world model |
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| 17 |
Low-Cost Teleoperation Extension for Mobile Manipulators |
提出一种低成本遥操作方案,用于移动双臂机器人的全身控制 |
whole-body control manipulation bi-manual |
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| 18 |
Build on Priors: Vision--Language--Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation |
提出基于视觉-语言引导的神经符号模仿学习框架,解决机器人数据高效操作问题。 |
manipulation imitation learning |
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| 19 |
Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation |
Embodied-R1:强化具身推理,实现通用机器人操作 |
manipulation reward design embodied AI |
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| 20 |
Learning-Based Fault Detection for Legged Robots in Remote Dynamic Environments |
提出一种基于学习的四足机器人故障检测方法,用于远程动态环境。 |
quadruped legged robot locomotion |
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| 21 |
A Multi-View 3D Telepresence System for XR Robot Teleoperation |
提出多视角3D远程呈现系统,用于XR机器人遥操作,提升操作效率。 |
manipulation teleoperation |
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| 22 |
FORMULA: FORmation MPC with neUral barrier Learning for safety Assurance |
FORMULA:融合神经障碍学习的安全多机器人编队MPC |
MPC model predictive control |
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| 23 |
Learning Geometry-Aware Nonprehensile Pushing and Pulling with Dexterous Hands |
提出GD2P,利用灵巧手学习几何感知的非抓取式推拉操作 |
manipulation dexterous hand |
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| 24 |
SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows |
SERNF:基于动作块评论家和归一化流的高效真实世界灵巧策略微调 |
manipulation dexterous manipulation multimodal |
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| 25 |
Human-Robot Copilot for Data-Efficient Imitation Learning |
提出人机协同框架,通过缩放因子提升模仿学习的数据效率 |
teleoperation imitation learning |
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| 26 |
Informed Hybrid Zonotope-based Motion Planning Algorithm |
提出HZ-MP算法,通过混合zonotope分解和启发式采样解决非凸空间最优路径规划问题。 |
motion planning |
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| 27 |
Learning Dexterous Grasping from Sparse Taxonomy Guidance |
GRIT:提出一种基于稀疏分类引导的灵巧抓取学习框架,提升泛化性和可控性。 |
manipulation dexterous manipulation reinforcement learning |
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| 28 |
Do Robots Need Body Language? Comparing Communication Modalities for Legible Motion Intent in Human-Shared Spaces |
研究不同沟通方式对四足机器人运动意图表达的影响,提升人机共享空间安全性。 |
quadruped multimodal |
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| 29 |
AnyUser: Translating Sketched User Intent into Domestic Robots |
AnyUser:通过草图将用户意图转化为家用机器人指令 |
dual-arm multimodal |
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| 30 |
RAPTOR: A Foundation Policy for Quadrotor Control |
提出RAPTOR以解决四旋翼控制的适应性问题 |
sim2real reinforcement learning imitation learning |
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| 31 |
frax: Fast Robot Kinematics and Dynamics in JAX |
Frax:基于JAX的高性能机器人动力学库,加速机器人控制与学习。 |
humanoid Unitree |
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| 32 |
Learning to Grasp Anything by Playing with Random Toys |
通过玩随机玩具学习抓取:提升机器人操作的泛化能力 |
manipulation dexterous manipulation |
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| 33 |
Primitive-based Truncated Diffusion for Efficient Trajectory Generation of Differential Drive Mobile Manipulators |
提出基于原语截断扩散的运动规划器,高效生成差速移动机械臂轨迹。 |
trajectory optimization |
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| 34 |
Uncovering Linguistic Fragility in Vision-Language-Action Models via Diversity-Aware Red Teaming |
提出多样性感知的红队测试框架DAERT,揭示VLA模型对语言脆弱性 |
manipulation reinforcement learning embodied AI |
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| 35 |
BiCoord: A Bimanual Manipulation Benchmark towards Long-Horizon Spatial-Temporal Coordination |
BiCoord:面向长时程空间-时间协同的双臂操作基准 |
manipulation bi-manual bimanual manipulation |
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| 36 |
ExpressMM: Expressive Mobile Manipulation Behaviors in Human-Robot Interactions |
ExpressMM:人机交互中基于视觉-语言-动作策略的移动操作表达行为 |
manipulation mobile manipulation vision-language-action |
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| 37 |
A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model |
提出A1框架以降低视觉-语言-动作模型的推理成本 |
manipulation flow matching affordance |
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| 38 |
Synergizing Efficiency and Reliability for Continuous Mobile Manipulation |
提出一种融合效率与可靠性的连续移动操作框架,提升复杂环境下的任务成功率。 |
manipulation mobile manipulation spatiotemporal |
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| 39 |
JailWAM: Jailbreaking World Action Models in Robot Control |
提出JailWAM框架,用于评估和防御世界行为模型在机器人控制中的越狱攻击。 |
manipulation world action model world action models |
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| 40 |
HiPolicy: Hierarchical Multi-Frequency Action Chunking for Policy Learning |
HiPolicy:用于策略学习的分层多频动作块划分框架 |
manipulation policy learning imitation learning |
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| 41 |
Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation |
提出ReV框架,通过引入参考点增强机器人操作的鲁棒性和动态重规划能力 |
manipulation policy learning |
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| 42 |
GraspSense: Physically Grounded Grasp and Grip Planning for a Dexterous Robotic Hand via Language-Guided Perception and Force Maps |
GraspSense:基于力感知的灵巧手抓取与力控规划 |
humanoid manipulation dexterous manipulation |
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| 43 |
CoEnv: Driving Embodied Multi-Agent Collaboration via Compositional Environment |
CoEnv:通过组合环境驱动具身多智能体协作 |
manipulation sim-to-real scene reconstruction |
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| 44 |
Learning-Guided Force-Feedback Model Predictive Control with Obstacle Avoidance for Robotic Deburring |
提出一种基于扩散模型引导的力反馈MPC方法,用于机器人去毛刺任务。 |
MPC model predictive control |
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| 45 |
Precise Aggressive Aerial Maneuvers with Sensorimotor Policies |
提出基于强化学习的传感器运动策略,实现无人机在未知环境下高精度、高难度穿越 |
sim-to-real reinforcement learning policy learning |
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| 46 |
You're Pushing My Buttons: Instrumented Learning of Gentle Button Presses |
提出一种基于训练时示教的按钮按压学习方法,降低接触力。 |
manipulation imitation learning |
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| 47 |
A Co-Design Framework for High-Performance Jumping of a Five-Bar Monoped with Actuator Optimization |
提出一种五杆单足跳跃机器人协同设计框架,优化机构、电机、控制参数。 |
legged robot |
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| 48 |
Simulation-Driven Evolutionary Motion Parameterization for Contact-Rich Granular Scooping with a Soft Conical Robotic Hand |
提出基于物理仿真的软锥形手爪抓取运动参数进化优化方法,解决颗粒物料高效抓取问题 |
trajectory optimization |
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