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Nishanth Bobbili

Mid-level Robotics Planning & Control Engineer specializing in UAV autonomy

Berkeley, CAResearch Scientist6 years experienceMid-LevelAerospace & DefenseRoboticsAutonomous Vehicles
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About

Robotics software engineer focused on autonomy for fixed-wing and quadrotor UAVs, with deep experience in planning and advanced control (geometric control, trajectory optimization, nonlinear MPC). Recently designed an energy-aware NMPC for an autonomous glider, building a custom simulation/visualization framework to tune reward formulations. Has hands-on field deployment experience integrating ROS with PX4, optimizing node architecture for zero-copy performance, and building heterogeneous robot comms using Zenoh.

Experience

Research ScientistAgile Robotics and Perception Lab, UC Berkeley
Integration and Testing EngineerAsteria Aerospace Ltd.
Project Application EngineerINDrone Aerosytems.

Education

New York University – Tandon School of Engineeringmaster, Robotics (2024)
Visvesvaraya Technological University - Jyothy Institute of Technologybachelor, Mechanical Engineering (2019)

Key Strengths

  • Developed and deployed planning and control algorithms on real UAVs (fixed-wing and quadrotor)
  • Designed energy-aware nonlinear MPC for an autonomous gliding plane
  • Built a simulation framework to iterate on and validate reward/cost formulations
  • Debugged PX4-ROS integration by abstracting NED↔ENU transforms via an interface node
  • Reduced communication overhead using ROS containers with intra-process, zero-copy transport
  • Implemented heterogeneous ground+aerial robot communication using Zenoh middleware
  • Structured, modular debugging approach for complex middleware/topic abstraction issues
  • End-to-end autonomy pipeline from Gazebo SITL to on-robot deployment using Docker for dependency management

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Languages

English

Skills

AcadosAgileArduinoAudio sensorsAutonomy algorithmsCAN busCasADiCMakeC++DebuggingDifferential flatnessDistributed systemsDockerEigenEnergy optimization