Jianmin Ji

収録論文 44本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Occluding the Solution Space: Planner-Agnostic Adversarial Attacks on Tolerance-Aware Manipulation
  2026/7/1
• CAC-VLA: Context-Gated Action Conditioning for Vision-Language-Action Models
  2026/7/1
• GEAR-VLA: Learning Geometry-Aware Action Representations for Generalizable Robotic Manipulation
  2026/6/1
• DynaHMRC: Decentralized Heterogeneous Multi-Robot Collaboration for Dynamic Tasks with Large Language Models
  2026/6/1
• $\pi_0$-EqM: Equilibrium Matching for Closed-Loop Vision-Language-Action Control
  2026/5/1
• Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
  2026/4/1
• Learning Surgical Robotic Manipulation with 3D Spatial Priors
  2026/3/1
• FAVLA: A Force-Adaptive Fast-Slow VLA model for Contact-Rich Robotic Manipulation
  2026/2/1
• UrgenGo: Urgency-Aware Transparent GPU Kernel Launching for Autonomous Driving
  2025/9/1
• CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
  2025/4/1
• STDArm: Transferring Visuomotor Policies From Static Data Training to Dynamic Robot Manipulation
  2025/4/1
• Research on Navigation Methods Based on LLMs
  2025/4/1
• GraspCoT: Integrating Physical Property Reasoning for 6-DoF Grasping under Flexible Language Instructions
  2025/3/1
• MT-PCR: Leveraging Modality Transformation for Large-Scale Point Cloud Registration with Limited Overlap
  2025/3/1
• Map++: Towards User-Participatory Visual SLAM Systems with Efficient Map Expansion and Sharing
  2024/11/1
• MSGField: A Unified Scene Representation Integrating Motion, Semantics, and Geometry for Robotic Manipulation
  2024/10/1
• MHRC: Closed-loop Decentralized Multi-Heterogeneous Robot Collaboration with Large Language Models
  2024/9/1
• CELLmap: Enhancing LiDAR SLAM through Elastic and Lightweight Spherical Map Representation
  2024/9/1
• LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance
  2024/7/1
• Perception Helps Planning: Facilitating Multi-Stage Lane-Level Integration via Double-Edge Structures
  2024/7/1
• Rotation Initialization and Stepwise Refinement for Universal LiDAR Calibration
  2024/5/1
• Safe and Personalizable Logical Guidance for Trajectory Planning of Autonomous Driving
  2024/5/1
• Rendering-Enhanced Automatic Image-to-Point Cloud Registration for Roadside Scenes
  2024/4/1
• MM-Gaussian: 3D Gaussian-based Multi-modal Fusion for Localization and Reconstruction in Unbounded Scenes
  2024/4/1
• CRPlace: Camera-Radar Fusion with BEV Representation for Place Recognition
  2024/3/1
• CalibFormer: A Transformer-based Automatic LiDAR-Camera Calibration Network
  2023/11/1
• PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning
  2023/10/1
• EdgeCalib: Multi-Frame Weighted Edge Features for Automatic Targetless LiDAR-Camera Calibration
  2023/10/1
• OCC-VO: Dense Mapping via 3D Occupancy-Based Visual Odometry for Autonomous Driving
  2023/9/1
• USTC FLICAR: A Sensors Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots
  2023/4/1
• Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments
  2023/3/1
• TrajMatch: Towards Automatic Spatio-temporal Calibration for Roadside LiDARs through Trajectory Matching
  2023/2/1
• MAROAM: Map-based Radar SLAM through Two-step Feature Selection
  2022/10/1
• PFilter: Building Persistent Maps through Feature Filtering for Fast and Accurate LiDAR-based SLAM
  2022/8/1
• Learning to Socially Navigate in Pedestrian-rich Environments with Interaction Capacity
  2022/3/1
• A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator
  2021/9/1
• Crowd-Aware Robot Navigation for Pedestrians with Multiple Collision Avoidance Strategies via Map-based Deep Reinforcement Learning
  2021/9/1
• Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model
  2021/8/1
• DRQN-based 3D Obstacle Avoidance with a Limited Field of View
  2021/8/1
• 3D Segmentation Learning from Sparse Annotations and Hierarchical Descriptors
  2021/5/1
• NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
  2020/11/1
• Robot Navigation with Map-Based Deep Reinforcement Learning
  2020/2/1
• A Multi-Domain Feature Learning Method for Visual Place Recognition
  2019/2/1
• MRS-VPR: a multi-resolution sampling based global visual place recognition method
  2019/2/1