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Chengcai Wang

4 accepted papers

2026

Continuous-Time Optical Flow Estimation from Asynchronous Event-Frame Streams for Embedded Systems

ICRA 2026poster

Bioinspired event cameras, with their high temporal resolution, low power consumption, and inherent motion responsiveness, have been widely adopted for fundamental vision tasks in robotics, notably optical flow estimation. Recent studies have shown that incorporating complementary frame data can sig…

Cited by 0Scholar
2024

Biomimetic Crawling Robot Based on Dielectric Elastomer: Design, Modeling and Experiment

RA-L 2024

In this study, a bio-inspired crawling robot with multi-surface locomotion capability is developed. The robot is driven by Dielectric Elastomer Minimum Energy Structures (DEMES) and utilizes a three-dimensional scissor mechanism and electrostatic adhesion technology to achieve multi-surface crawling

Cited by 3SourceScholar
2024

Enhancing VIO Robustness Under Sudden Lighting Variation: A Learning-Based IMU Dead-Reckoning for UAV Localization

RA-L 2024

Visual Inertial Odometry (VIO) is commonly used for real-time Unmanned Aerial Vehicle (UAV) localization. However, the performance of VIO significantly deteriorates when UAV encounters sudden lighting variation in the environment, which poses a significant risk during flight. To address this issue w

Cited by 13SourceScholar
2022

Research on Target Tracking for Robotic Fish Based on Low-Cost Scarce Sensing Information Fusion

RA-L 2022

Target tracking for underwater robots is always challenging, due to low-quality sensing information, information interference, and environmental disturbances. Traditional sensing methods for underwater target tracking include vision-based tracking, acoustic-based tracking, etc., but most of the adop

Cited by 21SourceScholar