10 citations · 10 across the 22 of their papers we have counts for
24 papers
Exposing the Long-tail in Embodied Urban Navigation via Scalable Learning from In-the-Wild Videos
Bingyi Xia, Han Bao, Zhewei Chen +5
Learning embodied urban navigation policies from real-world data is constrained by the cost of task-specific data collection and the limited coverage of rare yet safety-critical sc…
ReferTrack: Referring Then Tracking for Embodied Visual Tracking
Hanjing Ye, Tianle Zeng, Jiazhao Zhang +6
Embodied visual tracking (EVT) requires a mobile agent to continuously follow a specific target described in natural language using only onboard vision. While recent vision-languag…
NavIsaacLab: Generating Realistic Crowd via Parallel Robot Learning for Benchmarking Human-aware Navigation
Bingyi Xia, Han Bao, Jingyu Zhu +6
Robot autonomous navigation that accounts for surrounding human activities is crucial for ensuring both safety and natural human-robot interaction in real-world environments shared…
Learning Robot Visual Navigation in Crowds via Intention-Aware Scene Representations
Han Bao, Bingyi Xia, Hanjing Ye +5
Robot crowd navigation requires the ability to infer human intentions while accounting for the structural constraints of the environment. Currently, deep reinforcement learning (DR…
Can Single-View Mesh Reconstruction Generalize to Robot Camera Rotation?
Yu Zhan, Guangcheng Chen, Hanjing Ye +4
Single-view mesh reconstruction predicts object meshes and spatial layouts from a single observation, making it attractive for fast robot spatial reasoning and real-to-sim digital…
TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues
Tianle Zeng, Hanjing Ye, Jianwei Peng +3
Outdoor vision-language navigation (VLN) in long-range, open-world environments is frequently disrupted by semantic-cue interruptions, where informative goal cues become sparse, oc…
MfNeuPAN: Proactive End-to-End Navigation in Dynamic Environments via Direct Multi-Frame Point Constraints
Yiwen Ying, Hanjing Ye, Senzi Luo +4
Obstacle avoidance in complex and dynamic environments is a critical challenge for real-time robot navigation. Model-based and learning-based methods often fail in highly dynamic s…
Adap-RPF: Adaptive Trajectory Sampling for Robot Person Following in Dynamic Crowded Environments
Weixi Situ, Hanjing Ye, Jianwei Peng +2
Robot person following (RPF) is a core capability in human-robot interaction, enabling robots to assist users in daily activities, collaborative work, and other service scenarios.…
TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
Jiahang Liu, Yunpeng Qi, Jiazhao Zhang +9
Embodied Visual Tracking (EVT) is a fundamental ability that underpins practical applications, such as companion robots, guidance robots and service assistants, where continuously…
Meta-Memory: Retrieving and Integrating Semantic-Spatial Memories for Robot Spatial Reasoning
Yufan Mao, Hanjing Ye, Wenlong Dong +2
Navigating complex environments requires robots to effectively store observations as memories and leverage them to answer human queries about spatial locations, which is a critical…
EZREAL: Enhancing Zero-Shot Outdoor Robot Navigation toward Distant Targets under Varying Visibility
Tianle Zeng, Jianwei Peng, Hanjing Ye +3
Zero-shot object navigation (ZSON) in large-scale outdoor environments faces many challenges; we specifically address a coupled one: long-range targets that reduce to tiny projecti…
Follow-Bench: A Unified Motion Planning Benchmark for Socially-Aware Robot Person Following
Hanjing Ye, Weixi Situ, Jianwei Peng +4
Robot person following (RPF) -- mobile robots that follow and assist a specific person -- has emerging applications in personal assistance, security patrols, eldercare, and logisti…
TPT-Bench: A Large-Scale, Long-Term and Robot-Egocentric Dataset for Benchmarking Target Person Tracking
Hanjing Ye, Yu Zhan, Weixi Situ +6
Tracking a target person from robot-egocentric views is crucial for developing autonomous robots that provide continuous personalized assistance or collaboration in Human-Robot Int…
FlowPlan: Zero-Shot Task Planning with LLM Flow Engineering for Robotic Instruction Following
Zijun Lin, Chao Tang, Hanjing Ye +1
Robotic instruction following tasks require seamless integration of visual perception, task planning, target localization, and motion execution. However, existing task planning met…
Monocular Person Localization under Camera Ego-motion
Yu Zhan, Hanjing Ye, Hong Zhang
Localizing a person from a moving monocular camera is critical for Human-Robot Interaction (HRI). To estimate the 3D human position from a 2D image, existing methods either depend…
RPF-Search: Field-based Search for Robot Person Following in Unknown Dynamic Environments
Hanjing Ye, Kuanqi Cai, Yu Zhan +3
Autonomous robot person-following (RPF) systems are crucial for personal assistance and security but suffer from target loss due to occlusions in dynamic, unknown environments. Cur…
GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure Detection
Jingwen Yu, Hanjing Ye, Jianhao Jiao +2
Visual loop closure detection is an important module in visual simultaneous localization and mapping (SLAM), which associates current camera observation with previously visited pla…
HPPS: A Hierarchical Progressive Perception System for Luggage Trolley Detection and Localization at Airports
Zhirui Sun, Zhe Zhang, Jieting Zhao +2
The robotic autonomous luggage trolley collection system employs robots to gather and transport scattered luggage trolleys at airports. However, existing methods for detecting and…
Human Orientation Estimation under Partial Observation
Jieting Zhao, Hanjing Ye, Yu Zhan +2
Reliable Human Orientation Estimation (HOE) from a monocular image is critical for autonomous agents to understand human intention. Significant progress has been made in HOE under…
Person Re-Identification for Robot Person Following with Online Continual Learning
Hanjing Ye, Jieting Zhao, Yu Zhan +3
Robot person following (RPF) is a crucial capability in human-robot interaction (HRI) applications, allowing a robot to persistently follow a designated person. In practical RPF sc…
Robot Person Following Under Partial Occlusion
Hanjing Ye, Jieting Zhao, Yaling Pan +3
Robot person following (RPF) is a capability that supports many useful human-robot-interaction (HRI) applications. However, existing solutions to person following often assume full…
Following Closely: A Robust Monocular Person Following System for Mobile Robot
Hanjing Ye, Jieting Zhao, Yaling Pan +2
Monocular person following (MPF) is a capability that supports many useful applications of a mobile robot. However, existing MPF solutions are not completely satisfactory. Firstly,…
Mapping While Following: 2D LiDAR SLAM in Indoor Dynamic Environments with a Person Tracker
Hanjing Ye, Guangcheng Chen, Weinan Chen +3
2D LiDAR SLAM (Simultaneous Localization and Mapping) is widely used in indoor environments due to its stability and flexibility. However, its mapping procedure is usually operated…
Condition-Invariant and Compact Visual Place Description by Convolutional Autoencoder
Hanjing Ye, Weinan Chen, Jingwen Yu +3
Visual place recognition (VPR) in condition-varying environments is still an open problem. Popular solutions are CNN-based image descriptors, which have been shown to outperform tr…