Abhinav Bhamidipati

I'm

Perception, Path Planning, Computer Vision, Machine Learning

About

My name is Abhinav Bhamidipati, 23-year-old pursuing Master's Degree in Robotics at the University of Maryland, College Park. I'm currently working at Inception Robotics contributing to develop autonomy stacks and enhancing robot capabilities through visual odometry and sensor fusion techniques.
My passion lies in the fields of Computer Vision and Machine Learning, and I have experience in areas such as Perception, Path Planning, SLAM, and Reinforcement Learning. My strong analytical thinking and problem-solving abilities enable me to navigate complex technical issues effectively. I've led teams in pioneering projects that have made a positive impact. I'm a lifelong learner who thrives in dynamic environments and embraces new challenges with enthusiasm.
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 the world of robotics and beyond.

Education

Master of Engineering, Robotics

Aug 2023 - May 2025

University of Maryland, College Park, MD

CGPA : 3.84/4

Bachelor of Engineering, Electronics and Telecommunication

Aug 2019 - May 2023

University of Mumbai, Atharva College of Engineering, Mumbai, India

CGPA : 8.97/10

Experience

Robotics Software Intern Inception Robotics, College Park

Sept 2024 - Present
  • Designed and deployed full‑stack autonomy pipelines for Autonomous UGVs using C++, Python, ROS2, and CUDA in Unity and Isaac Sim simulations and real‑world testing; integrated LiDAR and visual odometry modules with 3D ICP scan matching and ORB feature tracking, enhancing localization robustness through adaptive outlier filtering.
  • Built and scaled reinforcement learning–based terrain navigation models, importing environment from AWS and automating end‑to‑end CI/CD pipelines with Docker, and GitLab, achieving 90% navigation success across dynamic terrains.
  • Extended the autonomy stack with a DWA‑based local planner and an LLM‑powered natural language interface, leveraging SITL pipelines for multi‑run validation, enabling real‑time dynamic obstacle avoidance and voice‑commanded mission execution.
  • Developed a CLIP‑based vision‑model for final‑stage object damage assessment, capturing multi‑angle imagery of assigned objects & evaluating condition against predefined guidelines to detect surface deformation, cracks, & structural anomalies.

Robotics Software Intern Onki Robotics, New York City

Jun 2024 - Aug 2024
  • Optimized SLAM and localization pipelines for UGVs on Jetson platforms using ROS2, reducing pose update latency by 25% to enable real‑time tracking and navigation in dynamic, crowded environments.
  • Enhanced environmental perception, with sensor‑fusion of LiDAR and stereo camera data, generating denser occupancy maps and improving robustness to occlusions and cluttered scenes for consistent person‑following behavior.
  • Developed ML‑based human feature extraction and tracking models, enabling the UGV to detect, lock onto, and continuously follow a selected individual through crowds, maintaining robust identity tracking across partial occlusions and reappearances.

Research Assistant University of Maryland, College Park

Jan 2024 - May 2024
  • Integrated multi‑beam sonar and depth sensors in simulations for UUVs, enhancing decision‑making capabilities.
  • Improved environmental perception and navigation precision for UUVs through advanced sensor fusion techniques.
  • Developed control algorithms to optimize UUV path planning and maneuverability in complex underwater environments.

Research Assistant University of Toronto

Jun 2022 - Nov 2022
  • 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 also created real‑time tracking dashboards.

Web Developer N. Thakkar & Associates

Aug 2021 - Sept 2021

Experion, New York, NY

  • Optimized the throughput of a web application by 10% by using a load balancer and optimizing the code.
  • Created a user interface design for a website using wireframes and mockups.

Projects

  • All
  • Robots
  • Perception
  • Machine Learning
  • Path Planning
Surface Reconstruction from Noisy Point Clouds using DeepSDF
Search and Rescue Drone Simulation Using RL
UGV Surveillance with Coordinated Behavior Using Behavior Trees
Imaginative Autonomous Parking System Using Model‑Based Decision Making
Aerial‑Aquatic Manipulator in Sea, Air, and Land Simulator 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
Stereo Vision and Depth Estimation

Extra-Curricular

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Pinterest

110K Monthly Viewers

Showcasing my talent in Art. Pencil Sketching, Digital Art, Live Art, Watercolor Painting, Micron Sketching.

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Youtube

1K Subs, 199K Views

Using Youtube as a medium to Present my art. Sharing my Creative Process, Tutorials and Fun times with Art.