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Sanjana Raghavan
Junior Robotics & ML Engineer specializing in autonomous systems and perception
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Robotics software engineer with hands-on experience building a dual-arm (Kawasaki duAro) Cranfield assembly task-planning and motion-planning stack in ROS/MoveIt, using PDDL + behavior trees and OMPL for collision-free execution. Improved tight-tolerance insertions by integrating RGB-D visual servoing into the task planner loop, and also built an LLM-driven navigation pipeline with ORBSLAM3 for natural-language command parsing and real-time replanning.
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Key Strengths
- Built hierarchical task planning pipeline (PDDL + behavior trees + MoveIt/OMPL) for dual-arm assembly
- Deep ROS integration across perception, planning, and control (custom nodes, topics, TF transforms)
- Solved precision insertion with tight tolerances via RGB-D visual servoing and real-time goal updates
- Integrated LLM as a high-level ROS node for natural-language-to-navigation goals with real-time replanning
- Production-minded real-time design: modular nodes, bounded latency, async execution, watchdog-based recovery, simulation validation
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Experience
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2 publications
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