6 citations · 17 across the 17 of their papers we have counts for
13 papers · 1 filter
Towards Ultrafast Depth Sensing Via Active Event-based Stereo Vision
Jianing Li, Yunjian Zhang, Haiqian Han +2
Conventional frame-based imaging for active stereo systems has encountered major challenges in fast-motion scenarios. However, how to design a novel paradigm for ultrafast depth se…
DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments
Wen Jiang, Hanfang Liang, Li Wang +9
Recent advances in multimodal large models have significantly improved UAV vision-language navigation (UAV-VLN) by enhancing high-level perception and reasoning. However, existing…
EvoGymCM: Harnessing Continuous Material Stiffness for Soft Robot Co-Design
Le Shen, Kangyao Huang, Wentao Zhao +1
In the automated co-design of soft robots, precisely adapting the material stiffness field to task environments is crucial for unlocking their full physical potential. However, mai…
Diff-Muscle: Efficient Learning for Musculoskeletal Robotic Table Tennis
Wentao Zhao, Jun Guo, Kangyao Huang +2
Musculoskeletal robots provide superior advantages in flexibility and dexterity, positioning them as a promising frontier towards embodied intelligence. However, current research i…
Towards Task-Oriented Flying: Framework, Infrastructure, and Principles
Kangyao Huang, Hao Wang, Jingyu Chen +6
Deploying robot learning methods to aerial robots in unstructured environments remains both challenging and promising. While recent advances in deep reinforcement learning (DRL) ha…
Learning a Distributed Hierarchical Locomotion Controller for Embodied Cooperation
Chuye Hong, Kangyao Huang, Huaping Liu
In this work, we propose a distributed hierarchical locomotion control strategy for whole-body cooperation and demonstrate the potential for migration into large numbers of agents.…
Stimulate the Potential of Robots via Competition
Kangyao Huang, Di Guo, Xinyu Zhang +2
It is common for us to feel pressure in a competition environment, which arises from the desire to obtain success comparing with other individuals or opponents. Although we might g…
6-DOF All-Terrain Cyclocopter
Jingwei Li, Boyuan Deng, Xinyu Zhang +1
This paper presents the design of a 6-DOF all-terrain micro aerial vehicle and two control strategies for multimodal flight, which are experimentally validated. The micro aerial ve…
Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization
Xiaoyu Wang, Kangyao Huang, Xinyu Zhang +5
An innovative sort of mobility platform that can both drive and fly is the air-ground robot. The need for an agile flight cannot be satisfied by traditional path planning technique…
Bionic Collapsible Wings in Aquatic-aerial Robot
Xiao Xiong, Xinyu Zhang, Huanhao Huang +1
The concept of aerial-aquatic robots has emerged as an innovative solution that can operate both in the air and underwater. Previous research on the design of such robots has been…
Coupled Modeling and Fusion Control for a Multi-modal Deformable Land-air Robot
Xinyu Zhang, Yuanhao Huang, Kangyao Huang +4
A deformable land-air robot is introduced with excellent driving and flying capabilities, offering a smooth switching mechanism between the two modes. An elaborate coupled dynamics…
A Multi-modal Deformable Land-air Robot for Complex Environments
Xinyu Zhang, Yuanhao Huang, Kangyao Huang +4
Single locomotion robots often struggle to adapt in highly variable or uncertain environments, especially in emergencies. In this paper, a multi-modal deformable robot is introduce…
Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation
Xinyu Zhang, Jiangeng Huang, Yuanhao Huang +7
Amphibious ground-aerial vehicles fuse flying and driving modes to enable more flexible air-land mobility and have received growing attention recently. By analyzing the existing am…