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Utkarsh Gupta - Research Assistant in Los Angeles, CA

Utkarsh Gupta

Junior Robotics & ML Engineer specializing in perception, navigation, and VLA models

PSI Lab, USCUSCLos Angeles, CA1 Years ExperienceJunior LevelWorks On-Site

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About

Robotics software engineer with hands-on AGV/AMR experience at ERIC Robotics, building ROS2-based LiDAR perception and localization on NVIDIA Jetson for real-time deployment. Improved unstable localization in challenging environments (e.g., tunnels/bushes along rail tracks) via scan-matching, filtering, and consistency checks, and cut latency by moving from rclpy to rclcpp and leveraging CUDA. Comfortable across the stack from simulation (MuJoCo/Isaac Sim/Gazebo, domain randomization) to deployment tooling (Docker, basic CI) and distributed ROS2/DDS systems.

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Key Strengths

  • Built ROS2 perception/localization packages integrated with Nav2 for AGV/AMR deployment
  • Improved localization robustness in dynamic/variable initialization environments using scan-matching, filtering, and consistency checks
  • Real-time performance optimization on Jetson by leveraging CUDA and reducing pipeline latency
  • Systematic debugging using logging and RViz to identify latency root causes
  • Reduced ROS2 processing latency by migrating from rclpy to rclcpp and optimizing LiDAR data handling
  • Experience with sim-to-real workflows using domain randomization across MuJoCo/Isaac Sim/Gazebo
  • Distributed robotics communication using DDS, namespaces, custom messages, and TF2 frame management

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Experience

Research AssistantPSI Lab, USC · Oct 2025 – Present
Research AssistantCPS Vida Lab, USC · Nov 2024 – Nov 2025
Robotics Engineering InternERIC Robotics · May 2025 – Aug 2025internship
Machine Learning (Computer Vision) InternCenter for Development of Advanced Computing (CDAC) · Nov 2024 – Nov 2025internship

Education

USCmaster, Computer Science (2026)
MIT World Peace Universitybachelor, Computer Science and Engineering (2024)

Languages

English

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Utkarsh GuptaJunior Robotics & ML Engineer specializing in perception, navigation, and VLA models