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Shivam Udeshi
Intern Robotics/ADAS Engineer specializing in perception, sensor fusion, and state estimation
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Robotics software engineer who built a multi-agent dense warehouse mapping system in ROS 2, including LiDAR-camera fusion SLAM, timestamp-based synchronization, and DDS-based inter-robot pose/keyframe exchange under bandwidth constraints. Also applied Gaussian Splatting for selective photorealistic dense reconstruction and optimized real-time performance with node composition, bounded queues, and QoS tuning; experienced with Gazebo/CARLA/Unity simulation and Dockerized ROS 2 deployments.
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Key Strengths
- Designed multi-robot perception and mapping pipeline in ROS 2
- Built LiDAR-camera fusion SLAM with strict timestamp-based synchronization
- Optimized real-time SLAM performance via node composition, parallelization, bounded queues, and QoS tuning
- Implemented bandwidth-efficient inter-robot data exchange (poses/keyframes/pose-graph constraints) over DDS
- Improved map fidelity with selective dense reconstruction using Gaussian Splatting
- Standardized multi-robot deployments via consistent launch/YAML configuration and logging/validation for sync latency
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