Ashish Malik

Punjab Engineering College, Oregon State University

Papers

Total Citations

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About

Ashish Malik is a robotics researcher whose work spans mobile robot autonomy, legged locomotion, and motion planning. His research addresses fundamental challenges in how robots move reliably and efficiently through real-world environments, with contributions ranging from energy-aware navigation to advanced bipedal and crawling locomotion. His most influential contribution, "A Unified Framework for Operational Range Estimation of Mobile Robots" (2018, 32 citations), tackled the critical problem of predicting how far a robot can travel on a single battery discharge — a practical challenge essential to preventing robots from becoming stranded mid-mission. This work has become a meaningful reference point in the mobile robotics community. Malik has also made strides in legged robot locomotion. His 2022 work on learning dynamic bipedal walking across stepping stones advanced the field by demonstrating a learning-based approach capable of handling footstep-constrained environments — pushing beyond the limited open-loop demonstrations that characterized prior research. Additionally, his 2019 work on decentralized gait generation proposed a generalizable architecture for statically stable crawling robots, broadening the toolkit available for multi-legged robot design. Together, these contributions reflect Malik's commitment to building more capable, autonomous, and practically deployable robotic systems.