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Harsha Kotta

Intern Robotics Researcher specializing in state estimation, SLAM, and sensor fusion

Robotics Research Intern - Nokia-Bell Labs1 years experienceInternRoboticsResearchTelecommunications
ScreenedReferences VerifiedIdentity VerifiedStrongly Recommended

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About

Robotics software engineering intern at Bell Labs who overhauled indoor mobile robot localization in a ROS 2 stack, combining EKF + particle filtering with a neural network to handle BLE multipath disturbances. Delivered a major accuracy gain (~50 cm to sub-20 cm), earned a company Innovation award, published a paper, and saw the approach adopted across the company’s robot fleet.

Experience

Lead Teaching Assistant - Probabilistic RoboticsColumbia University
Robotics Research Intern - Nokia-Bell LabsNokia Bell Labs
Research Assistant - James Anderson Research GroupJames Anderson Research Group
Entrepreneurship and Venture Society - PresidentEntrepreneurship and Venture Society

Education

Columbia Universitymaster, Mechanical Engineering (Robotics and Control) (2025)
Arizona State Universitybachelor, Mechanical Engineering (2024)

Key Strengths

  • Redesigned indoor robot localization system (IMU/odometry/BLE fusion) in ROS 2
  • Improved localization error from ~50 cm to consistently sub-20 cm
  • Developed hybrid EKF + Particle Filter approach with neural network to mitigate BLE multipath disturbances
  • Deep ROS/ROS2 implementation experience (nodes, topics, performance analysis tooling)
  • Strong debugging of subtle estimation issues (identified and fixed frame transformation math errors)
  • Validated changes on real hardware with sanity checks
  • Innovation award recipient; published paper; algorithm adopted company-wide

Reference Highlights

Strongly Recommended
  • Technical ability well above typical graduate level
  • Comparable to a senior engineer despite being a recent graduate
  • Strong ownership and autonomy on implementation
  • Understands project objectives quickly
  • High code quality
  • Well-organized pull requests
  • Takes feedback well and applies revisions quickly and correctly
  • Strong command of Python
  • Strong understanding of ROS/ROS2 framework
  • Quickly learns processes and systems
  • Effective debugging in complex, production-like environments
  • Good grasp of distributed system architecture
  • Good command of synchronization/concurrency concepts
  • Communicates well
  • Adapts well to changing plans
  • Produces high-quality deliverables
  • Strong fit for hardware-software boundary work

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Contact

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Languages

English

Skills

Probabilistic RoboticsRobot LearningModel Predictive ControlOptimal ControlState EstimationSensor FusionLocalizationSLAMGraphSLAMEKF-SLAMOccupancy Grid MappingKalman FilteringExtended Kalman Filter (EKF)Unscented Kalman Filter (UKF)Particle Filtering