| 1 |
Multi-Rate Nonlinear Model Predictive Control for Wall-Supported Bipedal Locomotion of Quadrupedal Robots |
提出多速率非线性模型预测控制以解决四足机器人壁支撑的双足行走问题 |
quadruped bipedal biped |
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| 2 |
LIME: Learning Intent-aware Camera Motion from Egocentric Video |
提出LIME以解决语言条件下相机运动生成问题 |
manipulation flow matching motion generation |
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| 3 |
Actuator Reality Shaping for Zero-Shot Sim-to-Real Robot Learning |
提出执行器现实塑造以解决零-shot仿真到现实机器人学习问题 |
legged robot humanoid humanoid robot |
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| 4 |
HEFT: Heavy-Payload Full-size Humanoid Teleoperation with Privileged Motion Guidance and Windowed Payload Curriculum |
提出HEFT框架以解决全尺寸人形机器人重载遥操作问题 |
humanoid motion tracking locomotion |
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| 5 |
Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving |
提出Sim2Real-AD框架以解决仿真到现实的自动驾驶部署问题 |
sim-to-real sim2real reinforcement learning |
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| 6 |
The Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data Collection |
提出混合动态数据收集以增强VLA空间泛化能力 |
manipulation dual-arm spatial relationship |
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| 7 |
Neuro-Symbolic Safety Guidance for Vision-Language-Action Models via Constrained Flow Matching |
提出神经符号安全指导机制以解决视觉-语言-动作模型的碰撞预防问题 |
manipulation flow matching vision-language-action |
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| 8 |
Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies |
提出引导动作流以解决流匹配视觉-语言-动作策略的推理问题 |
manipulation flow matching vision-language-action |
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| 9 |
CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation |
提出CaP-X框架以提升机器人操作中的编码代理性能 |
manipulation sim2real reinforcement learning |
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| 10 |
PhysMani: Physics-principled 3D World Model for Dynamic Object Manipulation |
提出PhysMani以解决动态物体操控中的物理建模问题 |
manipulation world model world models |
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| 11 |
VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon |
提出VLA-Corrector以解决VLA策略的闭环反应不足问题 |
manipulation vision-language-action VLA |
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| 12 |
VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer |
提出VLSA架构以解决机器人操作中的安全性问题 |
manipulation vision-language-action VLA |
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| 13 |
Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration |
提出无训练注意力重校准方法以解决VLA模型的语言盲目问题 |
manipulation vision-language-action VLA |
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| 14 |
ManipArena: Comprehensive Real-world Evaluation of Reasoning-Oriented Generalist Robot Manipulation |
提出ManipArena框架以解决机器人操作评估的现实差距问题 |
manipulation mobile manipulation world action model |
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| 15 |
VT-WAM: Visual-Tactile World Action Model for Contact-Rich Manipulation |
提出VT-WAM以解决接触丰富操作中的动态建模问题 |
manipulation flow matching world action model |
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| 16 |
DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation |
提出DVG-WM以解决机器人操作中的视频生成与动态建模问题 |
manipulation flow matching world model |
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| 17 |
WorldSample: Closed-loop Real-robot RL with World Modelling |
提出WorldSample以解决真实机器人强化学习中的高交互成本问题 |
manipulation reinforcement learning imitation learning |
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| 18 |
BIFROST: Bridging Invariant Feature Representation for Observation-space Sim2Real Transfer |
提出BIFROST以解决机器人政策学习中的Sim2Real转移问题 |
manipulation sim2real policy learning |
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| 19 |
ACID: Action Consistency via Inverse Dynamics for Planning with World Models |
提出ACID框架以解决决策时间规划中的动作一致性问题 |
manipulation world model world models |
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| 20 |
BIEVR-LIO: Robust LiDAR-Inertial Odometry through Bump-Image-Enhanced Voxel Maps |
提出BIEVR-LIO以解决LiDAR惯性里程计在复杂环境中的鲁棒性问题 |
locomotion LIO elevation map |
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| 21 |
One Demonstration Is Enough for Real-World Robotic Reinforcement Learning |
提出AutoSERL框架以解决机器人强化学习中的数据收集难题 |
manipulation reinforcement learning imitation learning |
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| 22 |
CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning |
提出CoRe框架以解决强化学习中的奖励设计问题 |
manipulation reinforcement learning policy learning |
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| 23 |
Learning Locomotion on Discrete Terrain via Minimal Proximity Sensing |
通过最小接近传感器提升四足机器人在离散地形上的行走能力 |
quadruped locomotion reinforcement learning |
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| 24 |
Imagining the Sense of Touch: Touch-Informed Manipulation via Imagined Tactile Representations |
提出TacImag框架以解决无触觉传感器的机器人操控问题 |
manipulation contact-aware |
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| 25 |
Bridge-WA: Predicting Where and How the World Changes for Robotic Action |
提出Bridge-WA以解决机器人行动中的场景变化预测问题 |
manipulation world model world models |
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| 26 |
NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning |
提出NeHMO以解决安全多臂运动规划问题 |
trajectory optimization motion planning |
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| 27 |
Distilling Collaborative Dynamics into Latent Space for Implicit Coordination in Decentralized Multi-Agent Manipulation |
提出CLS-DP以解决多臂操控中的隐式协调问题 |
manipulation spatiotemporal |
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| 28 |
Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation |
提出AtomSkill框架以解决多任务机器人操作中的技能学习问题 |
manipulation imitation learning |
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| 29 |
Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution |
提出潜在策略障碍以解决视觉运动策略的鲁棒性问题 |
manipulation policy learning behavior cloning |
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| 30 |
SPOT: Spatio-Temporal Obstacle-free Trajectory Planning for UAVs in Unknown Dynamic Environments |
提出SPOT以解决无人机在未知动态环境中的轨迹规划问题 |
trajectory optimization motion planning reactive motion |
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| 31 |
VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning |
提出VLM-AR3L以解决强化学习中的奖励函数设计问题 |
manipulation reinforcement learning |
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| 32 |
Choreographing the Way of Water: A Computational Framework for Aquatic Robotic Art |
提出水上机器人编排框架以应对流体动力学挑战 |
model predictive control |
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| 33 |
Human Supervisor Workload Prediction: Lag Horizon Selection |
提出生理传感器驱动的人类工作负载预测方法以解决反应性问题 |
teleoperation |
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| 34 |
Regression Test Selection for Updated Capability Modules in Compositional ML Systems via Atomic-Quality Probes |
提出回归测试选择方法以解决组合机器学习系统中的模块更新问题 |
manipulation |
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