Master of Engineering, Robotics
University of Maryland, College Park, MD
CGPA: 3.84 / 4.0
About
My name is Abhinav Bhamidipati. My passion lies in Computer Vision and Machine Learning, with experience in Simulation, Perception, SLAM, and Reinforcement Learning.
Beyond engineering, I'm creative; indulging in sketching and painting. I'm driven by innovation, eager to collaborate, and excited to make meaningful contributions to robotics and beyond.
Education
Bachelor of Engineering, Electronics & Telecommunication
University of Mumbai, Atharva College of Engineering
CGPA: 8.97 / 10.0
Experience
Humanoid Simulation Engineer
Apptronik, AustinRobotics Software Engineer
Inception Robotics, College Park- Leading development of next-generation autonomy systems and establishing core robotics infrastructure.
Robotics Software Engineer Intern
- Designed full-stack autonomy pipelines for Autonomous UGVs using C++, Python, ROS2, and CUDA in Unity and Isaac Sim simulations; integrated LiDAR and visual odometry modules with 3D ICP scan matching and ORB feature tracking.
- Built and scaled reinforcement learning–based terrain navigation models, achieving 90% navigation success across dynamic terrains with automated CI/CD pipelines.
- Extended autonomy stack with DWA-based local planner and LLM-powered natural language interface for voice-commanded mission execution.
- Developed CLIP-based vision-model for object damage assessment, detecting surface deformation, cracks, and structural anomalies.
Computer Vision & SLAM Engineer
Onki Robotics, New York City- Optimized SLAM and localization pipelines for UGVs on Jetson platforms using ROS2, reducing pose update latency by 25%.
- Enhanced environmental perception with sensor-fusion of LiDAR and stereo camera data, generating denser occupancy maps.
- Developed ML-based human feature extraction and tracking models for robust person-following through crowds.
Research Assistant
University of Maryland, College Park- Integrated multi-beam sonar and depth sensors in simulations for UUVs, enhancing decision-making capabilities.
- Improved environmental perception and navigation precision through advanced sensor fusion techniques.
- Developed control algorithms to optimize UUV path planning and maneuverability in complex underwater environments.
Research Assistant
University of Toronto- Performed in-depth analysis of a large-scale database with over 1 million patient records daily, uncovering critical trends.
- Developed algorithms for data cleaning using Isolation Forest, and created real-time tracking dashboards.
Web Developer
N. Thakkar & Associates- Optimized web application throughput by 10% using load balancer and code optimization.
- Created user interface designs using wireframes and mockups.
Projects
Surface Reconstruction from Noisy Point Clouds using DeepSDF
Search and Rescue Drone Simulation Using RL
UGV Surveillance with Coordinated Behavior Using Behavior Trees
Real-time Pallet Detection and Ground Segmentation
Imaginative Autonomous Parking System Using Model-Based Decision Making
Aerial-Aquatic Manipulator in SAILS Using SAC
Real-Time Fire Segmentation using Deep Learning
Path Planning and Robot Navigation for Obstacle Avoidance
RoboHarvest
Turtlebot A* in Gazebo
Turtlebot Navigation using FollowWaypoint Action
Object Tracking
Pick and Place using UR10
Corner Detection using Hough Transform
LQR and LQG Controllers for a Moving Crane
