
Edward Harder developed autonomous navigation and control features for the FRC3407/2025-Reefscape robotics project, focusing on robust path planning, subsystem integration, and hardware-software alignment. He implemented autonomous routines using Java and JSON, integrating PathPlanner for configurable path generation and enhancing odometry for real-world reliability. Edward designed and refined the Corallator subsystem, enabling precise wrist and elevator control, and introduced new autonomous routines for competition scenarios. His work included debugging trajectory generation and hardware control methods, ensuring accurate execution and reduced cycle times. Throughout, he emphasized test-driven development and rapid iteration, delivering maintainable, field-ready robotics code with scalable architecture.

2025-04 monthly summary for FRC3407/2025-Reefscape: Focused on delivering autonomous navigation improvements and critical hardware control fixes that increase reliability, reduce cycle times, and strengthen our platform for future features.
2025-04 monthly summary for FRC3407/2025-Reefscape: Focused on delivering autonomous navigation improvements and critical hardware control fixes that increase reliability, reduce cycle times, and strengthen our platform for future features.
Delivered Corallator Wrist Positioning Enhancements with Level 4 support in FRC3407/2025-Reefscape by updating Constants and elevator control to accommodate Level 4. Introduced new wrist angle presets and target angles for Algae, Reef, and Station positions, with updated controller bindings to improve precision and game mechanics. Completed validation through targeted testing (3/13 test run changes) to ensure stability across configurations. Overall impact includes higher wrist-positioning precision, richer in-game interactions, and a scalable foundation for Level 4 automation in future sprints. Technologies/skills demonstrated include embedded control design, constants/config management, test-driven development, and rapid iteration across repository FRC3407/2025-Reefscape.
Delivered Corallator Wrist Positioning Enhancements with Level 4 support in FRC3407/2025-Reefscape by updating Constants and elevator control to accommodate Level 4. Introduced new wrist angle presets and target angles for Algae, Reef, and Station positions, with updated controller bindings to improve precision and game mechanics. Completed validation through targeted testing (3/13 test run changes) to ensure stability across configurations. Overall impact includes higher wrist-positioning precision, richer in-game interactions, and a scalable foundation for Level 4 automation in future sprints. Technologies/skills demonstrated include embedded control design, constants/config management, test-driven development, and rapid iteration across repository FRC3407/2025-Reefscape.
February 2025 monthly summary focusing on delivering the Corallator subsystem and week-zero algae-autonomy for Reefscape, with hardware-software integration, driver bindings, and path-configurable autonomy enabling new competition strategies. No major bugs reported; ongoing refinements for unfinished Corallator class and bindings are planned for the next sprint.
February 2025 monthly summary focusing on delivering the Corallator subsystem and week-zero algae-autonomy for Reefscape, with hardware-software integration, driver bindings, and path-configurable autonomy enabling new competition strategies. No major bugs reported; ongoing refinements for unfinished Corallator class and bindings are planned for the next sprint.
Monthly summary for 2025-01 | Reefscape project (FRC3407/2025-Reefscape). Delivered autonomous path planning capabilities with PathPlanner, added a sample path, and updated drive/odometry to enable PathPlanner compatibility. Fixed trajectory generation and enabled GUI-driven RobotConfig loading to support user-configured autonomous paths. Focused on robustness, configurability, and real-world applicability to improve field performance and operator confidence.
Monthly summary for 2025-01 | Reefscape project (FRC3407/2025-Reefscape). Delivered autonomous path planning capabilities with PathPlanner, added a sample path, and updated drive/odometry to enable PathPlanner compatibility. Fixed trajectory generation and enabled GUI-driven RobotConfig loading to support user-configured autonomous paths. Focused on robustness, configurability, and real-world applicability to improve field performance and operator confidence.
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