| 1 |
RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning |
提出RL-GSBridge,利用3D高斯溅射实现机器人操作学习的零样本Sim2Real迁移 |
manipulation sim-to-real sim2real |
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| 2 |
Opt2Skill: Imitating Dynamically-feasible Whole-Body Trajectories for Versatile Humanoid Loco-Manipulation |
Opt2Skill:结合轨迹优化与强化学习,实现通用人形机器人灵巧操作 |
humanoid humanoid robot manipulation |
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| 3 |
Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Models |
DoggyBot:基于腿式机器人和视觉-语言模型实现开放世界物体抓取的系统 |
quadruped legged robot locomotion |
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| 4 |
WildFusion: Multimodal Implicit 3D Reconstructions in the Wild |
WildFusion:野外环境下的多模态隐式3D重建,提升机器人导航能力 |
legged robot scene reconstruction traversability |
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| 5 |
Continuously Improving Mobile Manipulation with Autonomous Real-World RL |
提出基于自主真实世界强化学习的移动操作持续改进框架,提升机器人操作能力。 |
manipulation mobile manipulation policy learning |
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| 6 |
GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation |
GravMAD:基于空间价值图引导动作扩散的通用3D操作方法 |
manipulation imitation learning foundation model |
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| 7 |
Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion |
DoggyBot:基于强化学习的敏捷精确四足机器人运动控制 |
quadruped locomotion reinforcement learning |
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| 8 |
Learning with Less: Optimizing Tactile Sensor Configurations for Dexterous Manipulation |
优化触觉传感器配置,以更少传感器实现灵巧操作 |
manipulation dexterous manipulation |
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| 9 |
Towards Effective Utilization of Mixed-Quality Demonstrations in Robotic Manipulation via Segment-Level Selection and Optimization |
提出S2I框架,通过分段选择与优化,有效利用机器人操作中混合质量的演示数据。 |
manipulation trajectory optimization policy learning |
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| 10 |
Constraining Gaussian Process Implicit Surfaces for Robot Manipulation via Dataset Refinement |
提出COGIS方法,通过数据集优化约束高斯过程隐式曲面,提升机器人操作在部分可观测环境下的性能。 |
manipulation MPC model predictive control |
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| 11 |
Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater Vehicles |
提出基于强化学习的AUV六自由度控制方法,实现零样本迁移 |
sim-to-real domain randomization reinforcement learning |
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| 12 |
UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models |
UniAff:利用视觉-语言模型统一工具使用和关节运动的 affordance 表示 |
manipulation affordance |
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| 13 |
A Parallel-in-Time Newton's Method for Nonlinear Model Predictive Control |
提出一种时间并行牛顿法,加速非线性模型预测控制的求解。 |
MPC model predictive control |
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| 14 |
Additively Manufactured Open-Source Quadruped Robots for Multi-Robot SLAM Applications |
设计开源增材制造四足机器人Squeaky,用于多机器人SLAM研究 |
quadruped reinforcement learning |
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| 15 |
Object-Centric Kinodynamic Planning for Nonprehensile Robot Rearrangement Manipulation |
提出一种面向非抓取重排列操作的、以物体为中心的运动规划方法 |
manipulation |
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| 16 |
Micromanipulation System for Microscale Magnetic Component Alignment and Assembly |
提出一种基于接触的微操作系统,用于微型磁性元件的精确对准和组装。 |
manipulation |
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| 17 |
Bi-directional Momentum-based Haptic Feedback and Control System for In-Hand Dexterous Telemanipulation |
提出基于双向动量触觉反馈与控制系统,用于灵巧手遥操作 |
manipulation |
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| 18 |
PC-Planner: Physics-Constrained Self-Supervised Learning for Robust Neural Motion Planning with Shape-Aware Distance Function |
提出PC-Planner以解决复杂环境下机器人运动规划问题 |
motion planning |
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| 19 |
Self-Assessment of Evidential Grid Map Fusion for Robust Motion Planning |
提出一种基于证据网格地图融合的自评估方法,用于提升机器人运动规划的鲁棒性 |
motion planning |
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| 20 |
Bi-stable thin soft robot for in-plane locomotion in narrow space |
提出一种新型双稳态薄型软体机器人,用于狭窄空间内的平面运动 |
locomotion |
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| 21 |
Robot Navigation Using Physically Grounded Vision-Language Models in Outdoor Environments |
VLM-GroNav:融合物理属性的视觉语言模型用于户外机器人导航 |
legged robot traversability |
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| 22 |
Design, manufacturing, and inverse dynamic modeling of soft parallel robots actuated by dielectric elastomer actuators |
设计并制造基于介电弹性体驱动的软体并联机器人,并建立其逆动力学模型 |
manipulation |
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| 23 |
A vision-based robotic system for precision pollination of apples |
提出基于视觉的机器人授粉系统,实现苹果的精准授粉 |
motion planning |
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