| 1 |
SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting |
SplatSim:利用高斯溅射实现RGB操作策略的零样本Sim2Real迁移 |
manipulation sim2real gaussian splatting |
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| 2 |
Real-Time Whole-Body Control of Legged Robots with Model-Predictive Path Integral Control |
提出基于模型预测路径积分控制的腿式机器人全身实时控制方法 |
legged robot whole-body control locomotion |
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| 3 |
Safety-critical Locomotion of Biped Robots in Infeasible Paths: Overcoming Obstacles during Navigation toward Destination |
提出一种安全关键的足式机器人运动控制框架,用于在复杂环境中导航和避障 |
legged robot bipedal biped |
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| 4 |
BEINGS: Bayesian Embodied Image-goal Navigation with Gaussian Splatting |
提出BEINGS,利用高斯溅射和贝叶斯方法实现高效图像目标导航。 |
model predictive control 3D gaussian splatting gaussian splatting |
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| 5 |
Robots with Attitude: Singularity-Free Quaternion-Based Model-Predictive Control for Agile Legged Robots |
提出基于四元数的模型预测控制,解决腿式机器人大角度旋转时的奇异性问题。 |
quadruped legged robot humanoid |
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| 6 |
Embedded Image-to-Image Translation for Efficient Sim-to-Real Transfer in Learning-based Robot-Assisted Soft Manipulation |
提出基于嵌入式图像转换的Sim-to-Real方法,提升软体机器人辅助手术学习效率。 |
manipulation sim-to-real |
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| 7 |
Uncovering the Secrets of Human-Like Movement: A Fresh Perspective on Motion Planning |
提出基于生物力学的最优控制框架,实现机器人臂类人运动规划 |
humanoid humanoid robot motion planning |
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| 8 |
Benchmarking Sim2Real Gap: High-fidelity Digital Twinning of Agile Manufacturing |
针对敏捷制造,构建高保真数字孪生并评估Sim2Real差距 |
sim2real domain randomization curriculum learning |
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| 9 |
Catch It! Learning to Catch in Flight with Mobile Dexterous Hands |
提出基于移动灵巧手的两阶段强化学习框架,解决空中物体抓取问题 |
whole-body control dexterous hand reinforcement learning |
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| 10 |
Real-time Coupled Centroidal Motion and Footstep Planning for Biped Robots |
提出一种快速的质心运动与足端规划算法,用于弹簧负载倒立摆式双足机器人。 |
bipedal biped |
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| 11 |
ASMA: An Adaptive Safety Margin Algorithm for Vision-Language Drone Navigation via Scene-Aware Control Barrier Functions |
提出ASMA算法,通过场景感知控制屏障函数提升视觉语言无人机导航安全性。 |
MPC model predictive control VLN |
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| 12 |
Know your limits! Optimize the robot's behavior through self-awareness |
提出基于自感知(SAW)的深度学习模型,优化人型机器人在复杂环境中的行为控制。 |
humanoid humanoid robot motion generation |
✅ |
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| 13 |
Learning Agile Swimming: An End-to-End Approach without CPGs |
提出基于深度强化学习的端到端控制框架,实现仿生机器鱼的敏捷游泳。 |
sim-to-real reinforcement learning deep reinforcement learning |
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| 14 |
Safe Interval Motion Planning for Quadrotors in Dynamic Environments |
提出基于安全区间的四旋翼动态环境运动规划方法 |
motion planning |
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| 15 |
A Non-Linear Model Predictive Task-Space Controller Satisfying Shape Constraints for Tendon-Driven Continuum Robots |
提出基于模型预测控制的肌腱驱动连续体机器人任务空间控制器,满足形状约束。 |
MPC model predictive control teleoperation |
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| 16 |
Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation |
提出一种基于学习的模块化视觉流水线,为户外移动机器人遥操作实时生成延迟补偿视频流。 |
teleoperation |
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| 17 |
E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models |
提出E2Map,利用经验和情感指导语言模型在随机环境中进行自反思机器人导航。 |
manipulation large language model |
✅ |
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| 18 |
Digital Twins Meet the Koopman Operator: Data-Driven Learning for Robust Autonomy |
提出基于数字孪生与Koopman算子的数据驱动方法,提升越野自主导航的鲁棒性。 |
sim2real motion planning |
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| 19 |
Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization |
提出CPTO方法,解决自动驾驶在部分观测环境下安全和一致性规划问题 |
trajectory optimization spatiotemporal |
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| 20 |
CtRNet-X: Camera-to-Robot Pose Estimation in Real-world Conditions Using a Single Camera |
CtRNet-X:提出单目相机下的相机-机器人位姿估计方法,解决部分遮挡问题 |
manipulation |
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| 21 |
Highly dynamic physical interaction for robotics: design and control of an active remote center of compliance |
提出一种新型主动遥控柔顺中心(ARCC)设计与控制方法,提升机器人高动态物理交互性能。 |
manipulation |
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| 22 |
RPC: A Modular Framework for Robot Planning, Control, and Deployment |
RPC:用于机器人规划、控制和部署的模块化框架 |
legged robot |
✅ |
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| 23 |
ViewActive: Active viewpoint optimization from a single image |
ViewActive:基于单张图像的主动视角优化方法,提升机器人场景感知能力 |
motion planning |
✅ |
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