Himanshu

Peer reviewed research

Publications

Research on quadrotor navigation, collision avoidance for heterogeneous UAVs, and nature inspired path planning for mobile robots.

2023

49th Annual Conference of the IEEE Industrial Electronics Society (IECON)

AGVO: Adaptive Geometry Based Velocity Obstacle for Heterogenous UAVs Collision Avoidance in UTM

H. Kumar, D. Datta K., J. V. Pushpangathan, H. Kandath, and A. Dhabale

This work studies decentralized collision avoidance for heterogeneous unmanned aerial vehicles operating in unmanned traffic management scenarios.

DOI →

2022

IFAC PapersOnLine, vol. 55, no. 22, pp. 281 to 286

Waypoint Navigation of Quadrotor using Deep Reinforcement Learning

Himanshu, H. Kandath, and J. V. Pushpangathan

Deep reinforcement learning for quadrotor waypoint navigation, developed and evaluated as part of work at the Robotics Research Center, IIIT Hyderabad.

Best Presentation Award · IFAC ACA 2022

DOI →

2022

Innovations in Computational Intelligence and Computer Vision · Springer · pp. 351 to 361

Path Planning of Mobile Robot Using Adaptive Particle Swarm Optimization

Himanshu, A. Singha, A. Kumar, and A. K. Ray

An adaptive particle swarm optimization method for short, collision free mobile robot paths, evaluated with an e puck robot in the Webots simulator.

Adaptive particle swarm optimization path planning simulation
Mobile robot path planning in simulation.

Best Paper Award · ICICV 2021

DOI →

Research context

These publications grew from work in autonomous systems and robotics at IIIT Hyderabad and from undergraduate research in mobile robot navigation. My more recent work extends this foundation toward physical robot manipulation, multimodal demonstrations, force aware policies, and evaluation on physical systems.