Nipun Dhananjaya Weerakkodi Mudalige
Moscow Polytechnic University, Russian Space Systems, Skolkovo Institute of Science and Technology
Papers
4
Total Citations
41
H-Index
3
About
Nipun Dhananjaya Weerakkodi Mudalige is a robotics researcher advancing the capabilities of quadruped robots through multimodal perception and open-source platforms. His work centers on enabling legged robots to understand and adapt to their environments, with key contributions in tactile sensing, multi-agent coordination, and accessible hardware-software integration. His most cited paper, “DogTouch: CNN-based Recognition of Surface Textures by Quadruped Robot with High Density Tactile Sensors” (2022, 21 citations), introduces a deep learning approach that allows robots to classify terrains via touch—mimicking biological proprioception to improve locomotion robustness. In “HyperDog: An Open-Source Quadruped Robot Platform Based on ROS2 and micro-ROS” (2022, 12 citations), he democratized quadruped research by providing a fully documented, low-cost platform, accelerating prototyping and reproducibility. His work “NeuroSwarm: Multi-Agent Neural 3D Scene Reconstruction and Segmentation with UAV for Optimal Navigation of Quadruped Robot” (2023, 6 citations) fuses aerial and ground robotics, using drone-based neural reconstruction to guide quadruped path planning in cluttered spaces. With over 40 total citations, Mudalige’s research bridges perception, control, and open-source design, making him a rising figure in field robotics and embodied AI.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4