| 1 |
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark |
BiGym:一个面向移动双臂操作的、基于演示学习的基准测试环境 |
manipulation bi-manual reinforcement learning |
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| 2 |
Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation |
提出一种约束灵巧操作学习系统,用于蔬菜削皮任务 |
manipulation dexterous manipulation |
✅ |
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| 3 |
Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems |
利用视觉-语言导航系统表征漏洞进行恶意路径篡改 |
manipulation VLN large language model |
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| 4 |
Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation |
基于绿幕增强的机器人操作场景泛化方法 |
manipulation reinforcement learning imitation learning |
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| 5 |
Continuous Control with Coarse-to-fine Reinforcement Learning |
提出粗到精强化学习框架,解决连续动作空间中样本效率低的挑战 |
manipulation reinforcement learning behavior cloning |
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| 6 |
AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation |
AdaptiGraph:用于机器人操作的材料自适应图神经网络动力学模型 |
manipulation predictive model |
✅ |
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| 7 |
Learning In-Hand Translation Using Tactile Skin With Shear and Normal Force Sensing |
提出基于触觉皮肤的强化学习方法,实现灵巧的物体手中平移 |
manipulation dexterous manipulation sim-to-real |
✅ |
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| 8 |
Imitation Learning with Additional Constraints on Motion Style using Parametric Bias |
提出基于参数化偏置的模仿学习方法,实现运动风格约束下的机器人动作复现。 |
humanoid imitation learning |
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| 9 |
Estimation and Control of Motor Core Temperature with Online Learning of Thermal Model Parameters: Application to Musculoskeletal Humanoids |
提出一种基于在线学习热模型参数的电机温度估计与控制方法,应用于肌肉骨骼人形机器人。 |
humanoid |
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| 10 |
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries |
AutoMate:面向多样几何体的专家和通用机器人组装策略学习框架 |
sim-to-real policy learning character animation |
✅ |
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| 11 |
FLAIR: Feeding via Long-horizon AcquIsition of Realistic dishes |
FLAIR:利用长时程学习获取真实餐食,实现个性化机器人喂食 |
manipulation foundation model |
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| 12 |
RoCap: A Robotic Data Collection Pipeline for the Pose Estimation of Appearance-Changing Objects |
提出Rocap机器人数据收集流程,用于外观变化物体的姿态估计 |
manipulation |
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| 13 |
Adaptive Robotic Tool-Tip Control Learning Considering Online Changes in Grasping State |
提出一种自适应机器人末端控制学习方法,解决抓取状态在线变化问题 |
manipulation |
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| 14 |
Object Recognition, Dynamic Contact Simulation, Detection, and Control of the Flexible Musculoskeletal Hand Using a Recurrent Neural Network with Parametric Bias |
提出基于参数偏置循环神经网络的柔性肌骨手控制方法,实现对象识别、接触模拟与控制。 |
humanoid |
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