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Aditi Arun Bhoir

Junior Robotics Engineer specializing in perception, controls, and industrial automation

Brooks AutomationUniversity of Maryland, College ParkBoston, MA2 Years ExperienceJunior LevelWorks On-Site

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About

Robotics software engineer who led development of a vision-based end-effector stability/vibration analysis tool using phase-based motion magnification and frequency-domain analysis (FFT/Bode) to uncover resonances missed by motor-only diagnostics. Experienced with ROS 2 C++ perception/navigation (ArUco + PnP) and real-time industrial integration, including optimizing a 1 kHz EtherCAT/Beckhoff PLC/Modbus TCP diagnostic pipeline and designing deterministic interfaces across heterogeneous subsystems.

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Key Strengths

  • Built vision-based end-effector vibration diagnostics beyond motor-level checks
  • Applied phase-based motion magnification to quantify sub-pixel micro-vibrations
  • Correlated video-derived displacement with controller signals (torque/encoder) to isolate resonant modes
  • ROS 2 perception/navigation development with ArUco + PnP 6-DOF pose estimation in C++
  • Resolved multi-sensor timestamp drift and unstable TF using message_filters sync + hardware timestamping
  • Optimized 1 kHz EtherCAT→PLC→Modbus TCP diagnostic pipeline by instrumenting latency and tuning PLC function blocks
  • Designed deterministic interfaces across heterogeneous systems using strict timestamping and sequence numbers
  • Used Gazebo/URDF for simulation-driven validation and Docker + CI/CD for reproducible deployment/testing

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Experience

Technology Development EngineerBrooks Automation · Jul 2024 – Nov 2025
Robotics InternBrooks Automation · May 2023 – May 2024internship

Education

University of Maryland, College Parkmaster, Robotics (2024)
Sardar Patel College of Engineeringbachelor, Mechanical Engineering (2022)

Languages

English

Publications

2 publications

Human gait analysisMachine learningLower-limb exoskeleton designPediatric rehabilitation robotics

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Aditi Arun BhoirJunior Robotics Engineer specializing in perception, controls, and industrial automation