| 1 |
Human-as-Humanoid: Enabling Zero-Shot Humanoid Learning from Ego-Exo Human Videos with Human-Aligned Embodiments |
提出Human-as-Humanoid框架以解决高自由度人形机器人学习问题 |
humanoid manipulation bi-manual |
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| 2 |
Reinforcement Learning-Based Control for an Inline Skating Humanoid Robot |
提出基于强化学习的控制方法以解决人形机器人滑行问题 |
quadruped humanoid humanoid robot |
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| 3 |
RoboTacDex: A Dexterous Visual-Tactile-Action Dataset for Humanoid Manipulation |
提出RoboTacDex数据集以提升人形机器人灵巧操作能力 |
humanoid humanoid robot manipulation |
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| 4 |
Labimus: A Simulation and Benchmark for Humanoid Dexterous Manipulation in Chemical Laboratory |
提出Labimus以解决化学实验室人形机器人灵巧操作评估问题 |
humanoid humanoid robot manipulation |
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| 5 |
Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models |
提出Z-1框架以提升视觉-语言-动作模型的强化学习效率 |
manipulation reinforcement learning behavior cloning |
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| 6 |
FastDSAC: Enhancing Policy Plasticity via Constrained Exploration for Scalable Humanoid Locomotion |
提出FastDSAC以解决强化学习中的策略塑性问题 |
humanoid humanoid locomotion locomotion |
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| 7 |
UniTacVLA: Unified Tactile Understanding and Prediction in Vision Language Action Models |
提出UniTacVLA以解决接触丰富的灵巧操作问题 |
manipulation dexterous manipulation vision-language-action |
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| 8 |
DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation |
提出DVG-WM以解决机器人操控中的视频生成效率问题 |
manipulation flow matching world model |
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| 9 |
Freeform Preference Learning for Robotic Manipulation |
提出自由形式偏好学习以解决机器人操作中的奖励设计问题 |
manipulation preference learning reward design |
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| 10 |
OopsieVerse: A Safety Benchmark with Damage-Aware Simulation for Robot Manipulation |
提出OOPSIEVERSE以解决机器人操作中的安全性问题 |
manipulation sim-to-real reinforcement learning |
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| 11 |
3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance |
提出3D HAMSTER以解决2D引导下的机器人操控问题 |
manipulation vision-language-action VLA |
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| 12 |
LLM-Powered Interactive Robotic Action Synthesis from Multimodal Speech, Gestures, and Music |
提出基于大语言模型的多模态人机交互机器人动作合成框架 |
quadruped large language model multimodal |
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| 13 |
Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors |
提出高效的世界动作模型以解决仿真到现实的转移问题 |
manipulation sim-to-real domain randomization |
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| 14 |
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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| 15 |
HABIT: Human-Aware Behavior and Interaction Training Dataset for Robot Manipulation |
提出HABIT数据集以解决机器人缺乏人类意识的问题 |
manipulation spatiotemporal |
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| 16 |
ChronoFlow-Policy: Unifying Past-Current-Future Interaction Flow in Visuomotor Policy Learning |
提出ChronoFlow-Policy以解决视觉运动策略学习中的时间统一问题 |
manipulation policy learning diffusion policy |
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| 17 |
ELASTIC: Efficiently Learning to Adaptively Scale Test-Time Compute for Generative Control Policies |
提出ELASTIC以解决生成控制策略的测试时间计算自适应分配问题 |
manipulation reinforcement learning diffusion policy |
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| 18 |
CoDex: Learning Compositional Dexterous Functional Manipulation without Demonstrations |
提出CoDex以解决无示范的复杂物体操控问题 |
manipulation reinforcement learning |
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| 19 |
Robustness of Robotic Manipulation: Foundations and Frontiers |
提出系统化研究以提升机器人操作的鲁棒性 |
manipulation policy learning |
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| 20 |
Stage-Transition Dense Reward Modeling for Reinforcement Learning |
提出阶段转换密集奖励建模以解决稀疏奖励问题 |
manipulation reinforcement learning |
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| 21 |
Improving path-tracking performance of an articulated tractor-trailer system using a non-linear kinematic model |
提出非线性运动学模型以提升关节式拖车系统的路径跟踪性能 |
model predictive control |
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| 22 |
TactX: Learning Shared Tactile Representations Across Diverse Sensors |
提出TactX以解决传感器间触觉表示转移问题 |
manipulation |
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| 23 |
Machine Learning-based Feedback Linearization Control of Quadrotor Subject to Unmodeled Dynamics |
提出基于机器学习的反馈线性化控制以解决四旋翼未建模动态问题 |
actuator dynamics |
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