Object-Goal Visual Navigation via Effective Exploration of Relations among Historical Navigation States
通过有效探索历史导航状态之间的关系进行对象-目标视觉导航
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
TTA-COPE:类别级物体姿态估计的测试时适应
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation using Scene Object Spectrum Grounding
Meta-Explore:使用场景对象频谱接地的探索性分层视觉和语言导航
Learning Human-to-Robot Handovers from Point Clouds
从点云学习人机切换
Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation from Image Sequence
机器人结构先导时间注意,用于根据图像序列估计相机到机器人的姿势
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations
PartManip:从点云观测中学习跨类别可推广零件操作策略
DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects
DexArt:对铰接物体的通用灵巧操作进行基准测试
PyPose: A Library for Robot Learning with Physics-based Optimization
PyPose:基于物理优化的机器人学习库
Target-Referenced Reactive Grasping for Dynamic Objects
动态物体的目标参考反应式抓取
Autonomous Manipulation Learning for Similar Deformable Objects via only One Demonstration
仅通过一次演示即可学习类似可变形物体的自主操作
Renderable Neural Radiance Map for Visual Navigation
用于视觉导航的可渲染神经辐射图
Efficient Map Sparsification based on 2D and 3D Discretized Grids
基于 2D 和 3D 离散网格的高效地图稀疏化
Policy Adaptation from Foundation Model Feedback
根据基础模型反馈进行政策调整
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis
手掌中的 NeRF:通过新颖视图合成对机器人技术进行校正增强
Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer
通过自监督模拟到真实传输的无标记相机到机器人姿势估计
Affordances from Human Videos as a Versatile Representation for Robotics
人类视频的可供性作为机器人技术的多功能表示
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
DeepMapping2:自监督大规模激光雷达地图优化
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
GrowSP:3D 点云的无监督语义分割
Neural Volumetric Memory for Visual Locomotion Control
用于视觉运动控制的神经体积记忆
Multi-Object Manipulation via Object-Centric Neural Scattering Functions
通过以对象为中心的神经散射函数进行多对象操作
Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning
局部引导全局:视觉强化学习的配对相似性表示
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
HypLiLoc:通过双曲融合实现有效的 LiDAR 位姿回归
Imitation Learning as State Matching via Differentiable Physics
通过可微物理进行状态匹配的模仿学习
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