I developed improved multi-objective variants of parameter-free BxR algorithms for robotics optimization and evaluated them across five problems, including trajectory planning and inverse kinematics. This work was published in Applied Sciences in 2026.
For Trajecto, I designed a multi-objective optimization and simulation pipeline for trajectory planning. It uses Pinocchio to calculate torque through RNEA and compares theoretical position, velocity, and torque values with Gazebo simulation results.
I also developed Loares, a modular Python library for implementing and benchmarking optimization algorithms, with performance metrics and statistical testing pipelines. As a Teaching Assistant at Sardar Vallabhbhai National Institute of Technology, I worked from July 2025 to May 2026.
