About

Mandar Harshe is a researcher whose work bridges two distinct but equally impactful domains: spaceborne artificial intelligence and human motion analysis. His most notable contribution, "A Low Power And High Performance Software Approach to Artificial Intelligence On-Board" (2023), addresses a critical challenge in modern space exploration—enabling advanced autonomy for spacecraft, Earth observation, and space robotics within severe power and computational constraints. This work has already garnered 4 citations, signaling its relevance to the growing field of on-board AI. Earlier in his career, Harshe made significant contributions to biomechanics and rehabilitation engineering. He developed a novel experimental setup using a parallel cable robot for analyzing and controlling human motion (2011, 3 citations), and designed a multi-sensor, cable-driven lower limb rehabilitation device (2012, 3 citations). These works tackled persistent issues in gait analysis, such as soft tissue artifacts, and offered innovative, non-invasive solutions for measuring knee kinematics. Harshe’s research trajectory—from precise human motion control to intelligent, low-power space systems—demonstrates a rare versatility, applying rigorous engineering principles to both assistive healthcare and the next generation of autonomous spacecraft.

Research Focus

Key Achievements

3
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Low Power And High Performance Software Approach to Artificial Intelligence On-Board
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Agilent Technologies (Switzerland), Institut national de recherche en sciences et technologies du numérique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago