Asanka G. Perera
University of South Australia, University of Moratuwa, University of Canberra
Papers
4
Total Citations
32
H-Index
3
About
Asanka G. Perera is a robotics researcher whose work bridges aerial robotics, human-robot interaction, and multi-agent sensing. His primary research areas include human motion analysis from UAV video, bilateral teleoperation, and multi-robot environmental mapping. Perera’s most cited work, "Human Pose and Path Estimation from Aerial Video Using Dynamic Classifier Selection" (19 citations), introduces an innovative approach to estimating human pose and trajectory from drone-mounted cameras in near real-time—a critical capability for surveillance, search-and-rescue, and autonomous navigation. He further advanced this field with "Human motion analysis from UAV video" (4 citations), which proposes a dynamic classifier selection method to address the challenges of monocular aerial imagery. In teleoperation, his review on bilateral teleoperation with force, position, power, and impedance scaling (6 citations) provides a foundational analysis of scaling techniques for dissimilar master-slave robotic systems. Most recently, Perera’s 2024 work on multi-modal, multi-robot source localization introduces a state-machine model combining exploration strategies for real-world gas mapping. With a growing citation impact and contributions spanning aerial perception, teleoperation, and collaborative robotics, Perera is establishing himself as a versatile researcher advancing practical solutions for autonomous systems in dynamic environments.
Research Focus
Key Achievements
Top Papers
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- 3Human motion analysis from UAV video4 citations · 2018
- 4