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Abhishek Patil

Senior Robotics Researcher specializing in SLAM and 3D computer vision

Pleasanton, CARobotics Researcher - Computer Vision9 years experienceSeniorRoboticsIndustrial AutomationAutomotive
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About

Robotics software engineer (10+ years ROS/ROS 2) currently leading the perception stack for Omron’s AMR fleet, including a scalable factory SLAM system that combines vision with laser SLAM to handle corridor aliasing. Strong in real-time embedded optimization on NVIDIA Jetson (CUDA + profiling) and fleet-scale validation via multi-robot Isaac Sim scenarios (USD-to-ROS 2 bridging, Nav2 in crowded scenes). Also contributed to a cloud-native reality-capture/3D reconstruction pipeline at Hilti using Docker and Kubernetes.

Experience

Robotics Researcher - Computer VisionOmron Robotics
SLAM Engineer, Computer Vision/3DHilti Group
Research Engineer - Scene UnderstandingHonda Research Institute

Education

Northwestern Universitymaster, Robotics Engineering (2016)
National University of Singapore (NUS)bachelor, Mechanical Engineering (2014)

Key Strengths

  • Led perception stack for an AMR fleet
  • Designed and implemented scalable SLAM for factory environments
  • Solved corridor aliasing via visual-augmented laser SLAM (vision + lidar fusion)
  • Balanced organizational constraints by building a custom lightweight driver instead of standard ROS drivers
  • Validated system overhead with CPU usage, latency, and data drop-rate measurements
  • Methodical real-time optimization on NVIDIA Jetson using defined metrics and profiling tools (Nsight Systems, tegra_stats, ros2 topic hz)
  • Accelerated preprocessing/data reduction by proposing CUDA parallel processing
  • Built multi-robot Isaac Sim scenarios with per-robot ROS_DOMAIN_ID for fleet-scale validation
  • Implemented navigation/motion planning in crowded dynamic scenes using Nav2
  • Built cloud-native, containerized 3D reconstruction pipeline and helped scale processing with Kubernetes

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Languages

English

Skills

Simultaneous Localization and Mapping (SLAM)Computer Vision3D Computer VisionMulti-view Geometry (MVG)Visual-Inertial Odometry (VIO)Visual OdometryExtrinsic CalibrationCalibration PipelinesNoise ModelingLocalizationAutonomous Mobile Robots (AMR)Autonomous VehiclesScene UnderstandingObject DetectionPoint Cloud Registration