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Bode Vedhamsh

Bode Vedhamsh

Robotics Researcher

Talent
DelhiMember since September 24, 2026
C++PythonOpenCVTensorFlowTFLiteROS2MoveIt2Motion PlanningGitDockerGazeboMuJoCoFusion 360Blender
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C++PythonOpenCVTensorFlowTFLite

About

Benchmarked accuracy and inference performance of Vision-Language-Action (VLA) models on real-world tasks; deployed them in containerized server-client architectures for scalable inference. Built data collection pipelines across 4 hardware platforms, with custom scripts for fast, structured, and storage-efficient data logging. Replicated real-world scenarios in Isaac Sim, MuJoCo, and Gazebo to reduce physical testing time by over 50% across multiple projects.

Experience

Robotics Researcher at Tata Consultancy Services Research (2025-08 – Present)

  • Benchmarked accuracy and inference performance of Vision-Language-Action (VLA) models on real-world tasks; deployed them in containerized server-client architectures for scalable inference.
  • Built data collection pipelines across 4 hardware platforms, with custom scripts for fast, structured, and storage-efficient data logging.
  • Replicated real-world scenarios in Isaac Sim, MuJoCo, and Gazebo to reduce physical testing time by over 50% across multiple projects.
  • Authored simulation assets in USD, MJCF, and URDF; modeled and converted 3D assets in Blender into photorealistic scenes with simulated cameras, force-torque and other sensors.
  • Developed simulation workflows for automated data collection, task automation, and teleoperation device integration (e.g., Inverse Haply).
  • Tools: ROS2, Docker, Isaac Sim, Isaac Lab, MuJoCo, Gazebo, Blender, USD/URDF/MJCF

Research Intern at Robotics and Intelligent Systems Laboratory IIT Hyderabad (2024-05 – 2024-07)

  • Designed a 4-legged adaptive UAV landing mechanism with 2-DOF independently actuated legs that stiffen on ground contact, increasing the effective landing/grip workspace on uneven terrain.
  • 3D modeled, fabricated, and assembled the leg mechanism; integrated Arduino-based low-level control for real-time leg actuation.
  • Explored object detection pipelines using TensorFlow and TFLite for edge deployment, as part of broader perception experimentation during the internship.
  • Tools and Technologies: Fusion 360, OpenCV, ROS2, Arduino, TensorFlow, TFLite

Education

Bachelor's of Technology in Mechanical Engineering – Indian Institute of Technology, Bhilai (2021 – 2025)

Intermediate Education – Excel Junior College (2019 – 2021)

Skills

Robotics Researcher

Reviews

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