16 papers
Assembling Two Parts in One Hand
Liuao Pei, Tianyue Wu, Hui Zhang +2
A hallmark of human dexterity is the cooperative use of fingers, where different fingers take on distinct yet coordinated roles to accomplish fine manipu- lation, such as capping a…
Grounding Generated Video Plans in Simulation Towards Versatile Dexterous Controllers
Tianyue Wu, Boyuan An, Shuqi Zhao +6
Generated hand-object interaction (HOI) videos provide a controllable way to propose manipulation motions. Simulation-based HOI tracking can translate such kinematic references int…
AgilePE: Autonomous UAV Pursuit-Evasion via Self-Play Reinforcement Learning
Wenhao Tang, Tianyang Chen, Zhejun Cui +9
Autonomous pursuit-evasion is a fundamental challenge for Unmanned Aerial Vehicles (UAVs), requiring rapid decision-making under tightly coupled dynamics and continuously changing…
Precise Aggressive Aerial Maneuvers with Sensorimotor Policies
Tianyue Wu, Guangtong Xu, Zihan Wang +6
Precise aggressive maneuvers with lightweight onboard sensors remains a key bottleneck in fully exploiting the maneuverability of drones. Such maneuvers are critical for expanding…
NavDreamer: Video Models as Zero-Shot 3D Navigators
Xijie Huang, Weiqi Gai, Tianyue Wu +5
Previous Vision-Language-Action models face critical limitations in navigation: scarce, diverse data from labor-intensive collection and static representations that fail to capture…
Flying in Clutter on Monocular RGB by Learning in 3D Radiance Fields with Domain Adaptation
Xijie Huang, Jinhan Li, Tianyue Wu +3
Modern autonomous navigation systems predominantly rely on lidar and depth cameras. However, a fundamental question remains: Can flying robots navigate in clutter using solely mono…
Reactive Aerobatic Flight via Reinforcement Learning
Zhichao Han, Xijie Huang, Zhuxiu Xu +5
Quadrotors have demonstrated remarkable versatility, yet their full aerobatic potential remains largely untapped due to inherent underactuation and the complexity of aggressive man…
Automatic Generation of Aerobatic Flight in Complex Environments via Diffusion Models
Yuhang Zhong, Anke Zhao, Tianyue Wu +2
Performing striking aerobatic flight in complex environments demands manual designs of key maneuvers in advance, which is intricate and time-consuming as the horizon of the traject…
FLOAT Drone: A Fully-actuated Coaxial Aerial Robot for Close-Proximity Operations
Junxiao Lin, Shuhang Ji, Yuze Wu +3
How to endow aerial robots with the ability to operate in close proximity remains an open problem. The core challenges lie in the propulsion system's dual-task requirement: generat…
Flying on Point Clouds with Reinforcement Learning
Guangtong Xu, Tianyue Wu, Zihan Wang +2
A long-cherished vision of drones is to autonomously traverse through clutter to reach every corner of the world using onboard sensing and computation. In this paper, we combine on…
Whole-Body Control Through Narrow Gaps From Pixels To Action
Tianyue Wu, Yeke Chen, Tianyang Chen +2
Flying through body-size narrow gaps in the environment is one of the most challenging moments for an underactuated multirotor. We explore a purely data-driven method to master thi…
Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization
Tianyue Wu, Gongye Zaitian, Qianhao Wang +1
This paper explores the distance-based relative state estimation problem in large-scale systems, which is hard to solve effectively due to its high-dimensionality and non-convexity…
Learning Speed Adaptation for Flight in Clutter
Guangyu Zhao, Tianyue Wu, Yeke Chen +1
Animals learn to adapt speed of their movements to their capabilities and the environment they observe. Mobile robots should also demonstrate this ability to trade-off aggressivene…
Fast Iterative Region Inflation for Computing Large 2-D/3-D Convex Regions of Obstacle-Free Space
Qianhao Wang, Zhepei Wang, Mingyang Wang +7
Convex polytopes have compact representations and exhibit convexity, which makes them suitable for abstracting obstacle-free spaces from various environments. Existing generation m…
Distributed Optimization in Sensor Network for Scalable Multi-Robot Relative State Estimation
Tianyue Wu, Fei Gao
Distance measurements demonstrate distinctive scalability when used for relative state estimation in large-scale multi-robot systems. Despite the attractiveness of distance measure…
A Decoupled and Linear Framework for Global Outlier Rejection over Planar Pose Graph
Tianyue Wu, Fei Gao
We propose a robust framework for the planar pose graph optimization contaminated by loop closure outliers. Our framework rejects outliers by first decoupling the robust PGO proble…