| 1 |
MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation |
提出MALMM:一种用于零样本机器人操作的多智能体大语言模型框架 |
manipulation large language model |
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| 2 |
TRIP: Terrain Traversability Mapping With Risk-Aware Prediction for Enhanced Online Quadrupedal Robot Navigation |
TRIP:基于风险预测的地形可通行性地图,增强四足机器人在线导航 |
quadruped legged robot traversability |
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| 3 |
DexGrip: Multi-modal Soft Gripper with Dexterous Grasping and In-hand Manipulation Capacity |
DexGrip:具有灵巧抓取和手内操作能力的多模态软体夹爪 |
manipulation in-hand manipulation |
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| 4 |
Depth-PC: A Visual Servo Framework Integrated with Cross-Modality Fusion for Sim2Real Transfer |
提出Depth-PC框架,融合视觉与深度信息,实现机器人视觉伺服零样本迁移 |
manipulation sim2real zero-shot transfer |
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| 5 |
SIL-RRT*: Learning Sampling Distribution through Self Imitation Learning |
SIL-RRT*:通过自模仿学习提升RRT*采样分布,高效解决高维运动规划问题 |
motion planning imitation learning |
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| 6 |
Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*) |
提出FCIT*算法,利用SIMD并行加速高自由度机器人运动规划,无需近邻搜索。 |
motion planning |
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