50 citations · 72 across the 11 of their papers we have counts for
11 papers
What is the Better Curriculum: Controller-Shaped Grasping Behavior for Contact Force-Sensitive Manipulation
Ziyan Feng, Zizhao Yuan, Yulong Fu +6
How should a robot learn to manipulate objects so fragile that sub-Newton contact forces can cause irreversible damage? Existing visuo-tactile policy learning typically treats tact…
TactileReflex: Noise-Statistics-Driven Vision-Tactile Reflex Control for Force-Sensitive Manipulation
Ziyan Feng, Yulong Fu, Zheng Li +6
Manipulating fragile deformable containers, such as disposable plastic cups filled with liquid, demands real-time grip-force adaptation within an extremely narrow force margin: ins…
FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection
Yiming Luo, Yunfei Wang, Hongming Chen +6
Communication is fundamental for multi-robot collaboration, with accurate radio mapping playing a crucial role in predicting signal strength between robots. However, modeling radio…
ApexNav: An Adaptive Exploration Strategy for Zero-Shot Object Navigation with Target-centric Semantic Fusion
Mingjie Zhang, Yuheng Du, Chengkai Wu +4
Navigating unknown environments to find a target object is a significant challenge. While semantic information is crucial for navigation, relying solely on it for decision-making m…
SOAR: Simultaneous Exploration and Photographing with Heterogeneous UAVs for Fast Autonomous Reconstruction
Mingjie Zhang, Chen Feng, Zengzhi Li +6
Unmanned Aerial Vehicles (UAVs) have gained significant popularity in scene reconstruction. This paper presents SOAR, a LiDAR-Visual heterogeneous multi-UAV system specifically des…
RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
Hongtao Wu, Yijun Yang, Huihui Xu +3
The outdoor vision systems are frequently contaminated by rain streaks and raindrops, which significantly degenerate the performance of visual tasks and multimedia applications. Th…
Preserving Relative Localization of FoV-Limited Drone Swarm via Active Mutual Observation
Lianjie Guo, Zaitian Gongye, Ziyi Xu +4
Relative state estimation is crucial for vision-based swarms to estimate and compensate for the unavoidable drift of visual odometry. For autonomous drones equipped with the most c…
Arm-Constrained Curriculum Learning for Loco-Manipulation of the Wheel-Legged Robot
Zifan Wang, Yufei Jia, Lu Shi +6
Incorporating a robotic manipulator into a wheel-legged robot enhances its agility and expands its potential for practical applications. However, the presence of potential instabil…
FACT: Fast and Active Coordinate Initialization for Vision-based Drone Swarms
Yuan Li, Anke Zhao, Yingjian Wang +5
Swarm robots have sparked remarkable developments across a range of fields. While it is necessary for various applications in swarm robots, a fast and robust coordinate initializat…
To Reach the Unreachable: Exploring the Potential of VR Hand Redirection for Upper Limb Rehabilitation
Peixuan Xiong, Yukai Zhang, Nandi Zhang +6
Rehabilitation therapies are widely employed to assist people with motor impairments in regaining control over their affected body parts. Nevertheless, factors such as fatigue and…
Control of a Tail-Sitter VTOL UAV Based on Recurrent Neural Networks
Jinni Zhou, Hao Xu, Zexiang Li +2
Tail-sitter vertical takeoff and landing (VTOL) unmanned aerial vehicles (UAVs) have the capability of hovering and performing efficient level flight with compact mechanical struct…