
Eliot Horowitz developed two core features across viam-labs/motion-tools and viamrobotics/api, focusing on robotics data visualization and motion planning. In motion-tools, he built a DrawRobot-based visualization integrated with the robot frame system, using Go and JavaScript to fetch and display real-time robot states and geometries. He refactored geometry color logic for maintainability, improving clarity and extensibility. In viamrobotics/api, Eliot introduced the PseudolinearConstraint to the Motion Service using Protocol Buffers and gRPC, enabling flexible trajectory planning with tolerance for path deviations. His work demonstrated depth in API design, visualization, and maintainable code structure, addressing practical robotics engineering challenges.

August 2025 monthly summary focusing on key accomplishments. The primary deliverable this month was enabling more flexible trajectory planning in the Motion Service by introducing a new constraint type, PseudolinearConstraint, which allows a tolerance factor for deviations from straight-line paths to goals. This enhances safety and reliability in goal-reaching tasks and improves applicability across motion planning scenarios.
August 2025 monthly summary focusing on key accomplishments. The primary deliverable this month was enabling more flexible trajectory planning in the Motion Service by introducing a new constraint type, PseudolinearConstraint, which allows a tolerance factor for deviations from straight-line paths to goals. This enhances safety and reliability in goal-reaching tasks and improves applicability across motion planning scenarios.
April 2025 monthly summary for viam-labs/motion-tools: Implemented a new DrawRobot-based data visualization feature integrated with the robot frame system to fetch and display the robot's current state and geometries. Refactored the color selection logic for geometries to be more dynamic and maintainable, enhancing visualization clarity and user experience. The work delivers a more complete, single-view robot state visualization and lays groundwork for easier experimentation and debugging.
April 2025 monthly summary for viam-labs/motion-tools: Implemented a new DrawRobot-based data visualization feature integrated with the robot frame system to fetch and display the robot's current state and geometries. Refactored the color selection logic for geometries to be more dynamic and maintainable, enhancing visualization clarity and user experience. The work delivers a more complete, single-view robot state visualization and lays groundwork for easier experimentation and debugging.
Overview of all repositories you've contributed to across your timeline