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Tanish Katial
Junior Robotics Engineer specializing in motion planning, controls, and autonomous systems
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About
Robotics engineer who built an autonomous driving mobile robot software stack at Boston University using ROS on an NVIDIA Jetson Nano, integrating LiDAR + stereo vision with YOLOv5 and a probabilistic occupancy grid for planning. Demonstrated real-time systems rigor (multi-rate ROS nodes, 50ms sync, profiling/instrumentation) and optimized YOLOv5 with TensorRT, citing ~30% accuracy improvement; also taught ROS workshops to 50+ students.
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Key Strengths
- Built an end-to-end ROS software stack for an autonomous mobile robot on NVIDIA Jetson Nano
- Real-time multi-sensor fusion (LiDAR + stereo camera + YOLO detections) into a coherent world model
- Optimized YOLOv5 inference with TensorRT, improving accuracy by ~30% while meeting latency constraints
- Designed ROS node architecture with multi-rate subsystems (perception 30Hz, planning 20Hz, control 50Hz)
- Implemented time synchronization using message_filters ApproximateTimeSynchronizer within 50ms
- Developed a probabilistic occupancy grid combining semantic camera detections with LiDAR geometry for planning
- Production-minded reliability approach: V-model testing, heavy instrumentation, and profiling for worst-case guarantees
- Experience teaching ROS via workshops to 50+ students
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