Janak Panthi
Papers
2
Total Citations
3
H-Index
1
About
Janak Panthi is a robotics researcher focused on advancing autonomous manipulation in complex, unstructured environments. His work centers on constrained motion planning and affordance-based trajectory generation for robotic manipulators, addressing fundamental challenges in how robots interact with articulated objects. Panthi’s key contributions include developing a direct sampling method for screw-constraint manifolds, which enables efficient motion planning under the strict geometric constraints imposed by object articulation—a critical capability for remote or autonomous operations. He has also pioneered a closed-chain approach to generating affordance joint trajectories, creating a versatile, hardware-agnostic framework that helps robots avoid singularities and undesirable configurations while improving task success rates. Though early in his career, with his most-cited papers from 2024–2025 already garnering attention, Panthi’s work tackles the practical hurdles of deploying robots in unpredictable settings, from manufacturing to disaster response. His research bridges the gap between theoretical screw theory and real-world robotic dexterity, promising more adaptable and reliable autonomous systems.
Research Focus
Key Achievements
Top Papers
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