77 citations · 144 across the 39 of their papers we have counts for
39 papers
G2-Nav: Grounded and Guarded Vision-Language Costmaps for Robot Social Navigation
Yuwen Liao, Yihang Lan, Yizhuo Yang +4
Social navigation requires the robot to reason and respond in complex real-world environments. While recent works attempt to incorporate human-level intelligence into robot plannin…
NeuralMUSIC: A Hybrid Neural-Subspace Framework for Robot Sound Source Localization
Yizhuo Yang, Junqiao Fan, Shenghai Yuan +1
Reliable sound source localization is fundamental to robot audition, enabling autonomous robots to perceive spatial cues and operate effectively in dynamic environments. Classical…
GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI
Huzhenyu Zhang, Shenghai Yuan, Wenrui Yan +4
Data-driven embodied AI is rapidly transitioning into a paradigm that scales training through massively parallel simulation, where GPU-accelerated simulators serve as the foundatio…
A Deployable Embodied Vision-Language Navigation System with Hierarchical Cognition and Context-Aware Exploration
Kuan Xu, Ruimeng Liu, Yizhuo Yang +5
Bridging the gap between embodied intelligence and embedded deployment remains a key challenge in intelligent robotic systems, where perception, reasoning, and planning must operat…
Watch Your Step: Learning Semantically-Guided Locomotion in Cluttered Environment
Denan Liang, Yuan Zhu, Ruimeng Liu +3
Although legged robots demonstrate impressive mobility on rough terrain, using them safely in cluttered environments remains a challenge. A key issue is their inability to avoid st…
RPMS: Enhancing LLM-Based Embodied Planning through Rule-Augmented Memory Synergy
Zhenhang Yuan, Shenghai Yuan, Lihua Xie
LLM agents often fail in closed-world embodied environments because actions must satisfy strict preconditions -- such as location, inventory, and container states -- and failure fe…
Beyond Imitation: Reinforcement Learning Fine-Tuning for Adaptive Diffusion Navigation Policies
Junhe Sheng, Ruofei Bai, Kuan Xu +5
Diffusion-based robot navigation policies trained on large-scale imitation learning datasets, can generate multi-modal trajectories directly from the robot's visual observations, b…
Accurate Calibration and Robust LiDAR-Inertial Odometry for Spinning Actuated LiDAR Systems
Zijie Chen, Xiaowei Liu, Yong Xu +3
Accurate calibration and robust localization are fundamental for downstream tasks in spinning actuated LiDAR applications. Existing methods, however, require parameterizing extrins…
TGSFormer: Scalable Temporal Gaussian Splatting for Embodied Semantic Scene Completion
Rui Qian, Haozhi Cao, Tianchen Deng +4
Embodied 3D Semantic Scene Completion (SSC) infers dense geometry and semantics from continuous egocentric observations. Most existing Gaussian-based methods rely on random initial…
Gaussian Semantic Field for One-shot LiDAR Global Localization
Pengyu Yin, Shenghai Yuan, Haozhi Cao +4
We present a one-shot LiDAR global localization algorithm featuring semantic disambiguation ability based on a lightweight tri-layered scene graph. While landmark semantic registra…
STARC: See-Through-Wall Augmented Reality Framework for Human-Robot Collaboration in Emergency Response
Shenghai Yuan, Weixiang Guo, Tianxin Hu +5
In emergency response missions, first responders must navigate cluttered indoor environments where occlusions block direct line-of-sight, concealing both life-threatening hazards a…
Energy-Constrained Navigation for Planetary Rovers under Hybrid RTG-Solar Power
Tianxin Hu, Weixiang Guo, Ruimeng Liu +5
Future planetary exploration rovers must operate for extended durations on hybrid power inputs that combine steady radioisotope thermoelectric generator (RTG) output with variable…
PERAL: Perception-Aware Motion Control for Passive LiDAR Excitation in Spherical Robots
Shenghai Yuan, Jason Wai Hao Yee, Weixiang Guo +3
Autonomous mobile robots increasingly rely on LiDAR-IMU odometry for navigation and mapping, yet horizontally mounted LiDARs such as the MID360 capture few near-ground returns, lim…
CETUS: Causal Event-Driven Temporal Modeling With Unified Variable-Rate Scheduling
Hanfang Liang, Bing Wang, Shizhen Zhang +4
Event cameras capture asynchronous pixel-level brightness changes with microsecond temporal resolution, offering unique advantages for high-speed vision tasks. Existing methods oft…
DVDP: An End-to-End Policy for Mobile Robot Visual Docking with RGB-D Perception
Haohan Min, Zhoujian Li, Yu Yang +2
Automatic docking has long been a significant challenge in the field of mobile robotics. Compared to other automatic docking methods, visual docking methods offer higher precision…
AEOS: Active Environment-aware Optimal Scanning Control for UAV LiDAR-Inertial Odometry in Complex Scenes
Jianping Li, Xinhang Xu, Zhongyuan Liu +3
LiDAR-based 3D perception and localization on unmanned aerial vehicles (UAVs) are fundamentally limited by the narrow field of view (FoV) of compact LiDAR sensors and the payload c…
CleanUpBench: Embodied Sweeping and Grasping Benchmark
Wenbo Li, Guanting Chen, Tao Zhao +5
Embodied AI benchmarks have advanced navigation, manipulation, and reasoning, but most target complex humanoid agents or large-scale simulations that are far from real-world deploy…
SplatSSC: Decoupled Depth-Guided Gaussian Splatting for Semantic Scene Completion
Rui Qian, Haozhi Cao, Tianchen Deng +2
Monocular 3D Semantic Scene Completion (SSC) is a challenging yet promising task that aims to infer dense geometric and semantic descriptions of a scene from a single image. While…
A Fast and Light-weight Non-Iterative Visual Odometry with RGB-D Cameras
Zheng Yang, Kuan Xu, Shenghai Yuan +1
In this paper, we introduce a novel approach for efficiently estimating the 6-Degree-of-Freedom (DoF) robot pose with a decoupled, non-iterative method that capitalizes on overlapp…
Unsupervised Anomaly Detection for Autonomous Robots via Mahalanobis SVDD with Audio-IMU Fusion
Yizhuo Yang, Jiulin Zhao, Xinhang Xu +3
Reliable anomaly detection is essential for ensuring the safety of autonomous robots, particularly when conventional detection systems based on vision or LiDAR become unreliable in…
Dynamic Initialization for LiDAR-inertial SLAM
Jie Xu, Yongxin Ma, Yixuan Li +4
The accuracy of the initial state, including initial velocity, gravity direction, and IMU biases, is critical for the initialization of LiDAR-inertial SLAM systems. Inaccurate init…
Following Is All You Need: Robot Crowd Navigation Using People As Planners
Yuwen Liao, Xinhang Xu, Ruofei Bai +4
Navigating in crowded environments requires the robot to be equipped with high-level reasoning and planning techniques. Existing works focus on developing complex and heavyweight p…
AirSwarm: Enabling Cost-Effective Multi-UAV Research with COTS drones
Xiaowei Li, Kuan Xu, Fen Liu +3
Traditional unmanned aerial vehicle (UAV) swarm missions rely heavily on expensive custom-made drones with onboard perception or external positioning systems, limiting their widesp…
Handle Object Navigation as Weighted Traveling Repairman Problem
Ruimeng Liu, Xinhang Xu, Shenghai Yuan +1
Zero-Shot Object Navigation (ZSON) requires agents to navigate to objects specified via open-ended natural language without predefined categories or prior environmental knowledge.…