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Prashanth Sankaranarayanan
Entry-Level Robotics Researcher specializing in autonomous vehicles, SLAM, and motion planning
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Robotics/AV engineer with strong ROS2 and autonomy stack integration experience, including bringing Autoware Universe up on a real Lexus autonomous vehicle platform. Also built a hierarchical reinforcement learning proof-of-concept for Boston Dynamics Spot (navigation + manipulation) and tackled sim-to-real challenges by implementing PD torque conversion for Jetson-based hardware; improved localization accuracy via GNSS+EKF fusion with a reported 28% drift reduction.
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Key Strengths
- Trained and evaluated hierarchical RL walking policies (base + meta) for BD Spot door-opening task
- Hands-on sim-to-hardware deployment experience (Jetson, torque-controlled joints) including PD torque conversion
- Built ROS2 nodes/packages for teleop, navigation (planning/control), and mapping/exploration in Python and C++
- Integrated Autoware Universe onto a real Lexus AV platform end-to-end (localization, mapping, planning, control)
- Improved AV localization by integrating NovAtel GNSS and EKF fusion; reduced drift by 28%
- Strong simulation workflow across Gazebo/RViz (robotics) and MuJoCo (RL for legged robots)
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Experience
Education
Skills
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Publications
3 publications
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