Hi, I am Rishabh 

Work Experience

BotCrew Feb 2025 - Present

Robotics Engineer          

• Developed and integrated a Nonlinear Model Predictive Control (NMPC) system for the Company's Flagship Gravion Robot to enable real-time decision-making and trajectory tracking.

• Designed a robust communication pipeline using CycloneDDS, ensuring efficient, real-time data exchange between distributed robotic modules.

• Engineered a high-performance YOLOv8-based object classification pipeline using TensorRT and C++, achieving optimized inference speed and reliability for deployment in embedded systems.

• Designed and developed a ROS-agnostic, optimized mapping engine as an alternative to NAV2, capable of efficiently handling large-scale maps exceeding 5,000 acres, ensuring scalability and reliability for real-world deployments.

• Integrated and implemented ORB-SLAM3 for RGB-D SLAM on the Gravion Robot, enabling accurate real-time localization and mapping for robust autonomous navigation in dynamic environments.

Agile Robotics and Perception Laboratory   Sep 2023 - Jan 2025

Graduate Research Assistant         Guide: Prof. Giuseppe Loianno

• Developed a novel reactive collision avoidance framework integrating perception, planning, and control, improving real-time obstacle detection and response time for quadrotor at speeds up to 7.2 m/s in diverse environments.

•  Collaborated with the design team to optimize RACE platform, increasing flight time by 26% through firmware improvements, resulting in greater crash resilience and extended mission duration.

• Authored and presented research combining nonlinear model predictive control and adaptive control barrier functions, refining RGB-D data with neural networks to enhance depth accuracy and improve real-time obstacle avoidance.

Defence Research Development Organization (DRDO), India May 2022 - Dec 2022

Undergraduate Research Intern       Guide: Dr. Murali Krishna P. (Scientist F)

• Developed a navigation pipeline designed to handle urban landscape complexities, which was rigorously tested across 15 different weather conditions and various maps, significantly enhancing overall system reliability.

• Implemented PID controller and A* navigation algorithms to enable precise control and navigation for the vehicle. 

• Implemented YOLOv5 for pedestrian detection and achieved safe vehicle movement in 12 test cases of traffic situations avoiding collisions with pedestrians and vehicles.

Education

New York University , NY Sep 2023 - May 2025

Master of Science - Mechatronics and Robotics GPA: 3.78/4

Visvesvaraya National Institute of Technology, India Jul 2019 - May 2023

Bachelor of Technology - Mechanical Engineering GPA: 8.14/10

Skills

Languages: C/C++, Python, Markdown

Frameworks: ROS, Gazebo, CARLA, AirSim, ArduPilot

Tools: MATLAB, Simulink, Arduino IDE, NI Multisim, SolidWorks, Fusion 360, LaTeX, Git

Libraries: OpenCV, Numpy, Keras

News

• Our paper "Reactive Collision Avoidance for Safe Agile Navigation" accepted at International Conference of Robotics and Automation (ICRA) 2025

• Joined Agile Robotics and Perception Laboratory (ARPL) under Prof. Giuseppe Loianno as a Graduate Research Assistant (September 2023)

• My Paper "From Concept to Reality: An In-Depth Review of Autonomous Driving Strategies and Their Implementation" got accepted in International Conference on Mechanical Design and Manufacturing 2023 (April 2023)

• Got accepted into the Master of Science in Mechatronics and Robotics Program at Tandon School of Engineering at New York University (January 2023).