Under Review

Under Review

Perch: A Vision-Based Approach for Autonomous Perching

Han, Z., Mo, B., Cheng, S., Wang, R., Wang, Z., Gao, J., Pham, H. T., Ho, V. A., and Hovakimyan, N.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026

Abstract

This paper presents a vision-based approach for autonomous perching of aerial vehicles. The proposed system utilizes computer vision techniques for real-time detection and pose estimation of perching targets, combined with control algorithms for precise approach and contact dynamics. Our experimental results demonstrate successful perching maneuvers on various surfaces and structures.

Autonomous Perching Computer Vision Control Systems Aerial Robotics Hardware-in-the-Loop

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