
Developed and maintained the CU-Robotics/firmware codebase over seven months, delivering 18 features and resolving 9 bugs to enhance robotic control, safety, and reliability. Focused on embedded systems and C++ firmware, the work included precision improvements for positioning, robust PID control, and real-time sensor integration. Implemented cross-component communication protocols, advanced estimation algorithms, and safety gating for autonomous operation. Addressed system stability through debugging, code cleanup, and documentation upgrades, while introducing telemetry safeguards and state machine enhancements. The approach emphasized maintainability, clear data contracts, and operational readiness, resulting in safer, more reliable field performance and streamlined future development cycles.
Monthly work summary for 2026-04: Focused on strengthening heading state estimation in CU-Robotics firmware. Delivered a targeted feature to improve heading state handling in the Gimbal and Chassis Estimator and performed a refactor to clarify global chassis angle calculations. This work reduces estimation drift, improves control accuracy, and enhances maintainability for future enhancements.
Monthly work summary for 2026-04: Focused on strengthening heading state estimation in CU-Robotics firmware. Delivered a targeted feature to improve heading state handling in the Gimbal and Chassis Estimator and performed a refactor to clarify global chassis angle calculations. This work reduces estimation drift, improves control accuracy, and enhances maintainability for future enhancements.
2025-06 Firmware monthly summary for CU-Robotics/firmware: Delivered three primary features, fixed critical reliability bugs, and strengthened safety controls, delivering measurable business value through safer, more reliable autonomous operation. Key features: TargetState Data Transmission across components with serialized data and accompanying usage documentation; Feeder Control Reliability and Safety Enhancements including improved encoder reporting, direct switch-driven target acquisition, and a timer-based readiness delay to reduce race conditions; Hive Mode Safety Toggle and Governor Update implementing a safety toggle with state reset and governor reference adjustments when entering hive mode. Major bug fixes: improved Damage Status Transmission Reliability by updating state only on changes and refining angle normalization and defaults; Teensy Mode Safety Guard to prevent overrides during inspection; and a targeted fix to chassis angle wrapping observed in damage transmission. Overall impact: reduced telemetry noise, fewer race-condition-induced failures, safer mode transitions, and clearer data contracts; Documentation and commit discipline support faster onboarding and maintenance. Technologies/skills demonstrated: embedded firmware development in C/C++, serialization and cross-component communication, state machines and safety engineering, debugging and issue-focused remediation, and thorough documentation practices.
2025-06 Firmware monthly summary for CU-Robotics/firmware: Delivered three primary features, fixed critical reliability bugs, and strengthened safety controls, delivering measurable business value through safer, more reliable autonomous operation. Key features: TargetState Data Transmission across components with serialized data and accompanying usage documentation; Feeder Control Reliability and Safety Enhancements including improved encoder reporting, direct switch-driven target acquisition, and a timer-based readiness delay to reduce race conditions; Hive Mode Safety Toggle and Governor Update implementing a safety toggle with state reset and governor reference adjustments when entering hive mode. Major bug fixes: improved Damage Status Transmission Reliability by updating state only on changes and refining angle normalization and defaults; Teensy Mode Safety Guard to prevent overrides during inspection; and a targeted fix to chassis angle wrapping observed in damage transmission. Overall impact: reduced telemetry noise, fewer race-condition-induced failures, safer mode transitions, and clearer data contracts; Documentation and commit discipline support faster onboarding and maintenance. Technologies/skills demonstrated: embedded firmware development in C/C++, serialization and cross-component communication, state machines and safety engineering, debugging and issue-focused remediation, and thorough documentation practices.
May 2025: CU-Robotics/firmware delivered safety-critical enhancements and reliability improvements across gimbal yaw control, feeder automation, Lidar data transmission, and system initialization, with documentation upgrades. These changes translate to safer dynamic operations, reduced downtime due to feeder or drive issues, and higher data integrity for Hive communications. Technologies demonstrated include embedded firmware control, real-time gating, jam detection, robust reset logic, and thorough code/documentation improvements.
May 2025: CU-Robotics/firmware delivered safety-critical enhancements and reliability improvements across gimbal yaw control, feeder automation, Lidar data transmission, and system initialization, with documentation upgrades. These changes translate to safer dynamic operations, reduced downtime due to feeder or drive issues, and higher data integrity for Hive communications. Technologies demonstrated include embedded firmware control, real-time gating, jam detection, robust reset logic, and thorough code/documentation improvements.
April 2025 monthly summary for CU-Robotics/firmware focused on delivering high-value features, improving observability, and strengthening data handling and control stability. Delivered three core updates with clear technical and business impact, while laying groundwork for more reliable operation in future iterations.
April 2025 monthly summary for CU-Robotics/firmware focused on delivering high-value features, improving observability, and strengthening data handling and control stability. Delivered three core updates with clear technical and business impact, while laying groundwork for more reliable operation in future iterations.
March 2025 monthly performance summary for CU-Robotics/firmware focused on reliability, stability, and measurable business value. Delivered robust input handling, sensor data smoothing, networking safeguards, and estimator enhancements. Key fixes and improvements reduced operational risk, improved control responsiveness, and enhanced state estimation efficiency.
March 2025 monthly performance summary for CU-Robotics/firmware focused on reliability, stability, and measurable business value. Delivered robust input handling, sensor data smoothing, networking safeguards, and estimator enhancements. Key fixes and improvements reduced operational risk, improved control responsiveness, and enhanced state estimation efficiency.
February 2025 monthly summary for CU-Robotics firmware development. Focused on code quality, maintainability, and operational readiness, with a concrete code cleanup that reduces log noise without altering behavior.
February 2025 monthly summary for CU-Robotics firmware development. Focused on code quality, maintainability, and operational readiness, with a concrete code cleanup that reduces log noise without altering behavior.
January 2025 monthly summary for CU-Robotics/firmware: Implemented core main loop reliability and monitoring enhancements, removed CAN test loop from the main path, and improved CAN diagnostics and observability. These changes reduce runtime bottlenecks, simplify the critical path, and provide clearer diagnostics for safer operation and faster debugging.
January 2025 monthly summary for CU-Robotics/firmware: Implemented core main loop reliability and monitoring enhancements, removed CAN test loop from the main path, and improved CAN diagnostics and observability. These changes reduce runtime bottlenecks, simplify the critical path, and provide clearer diagnostics for safer operation and faster debugging.
November 2024 performance summary for CU-Robotics/firmware. Delivered targeted feature enhancements and a critical bug fix that improved positioning accuracy, control stability, and data integrity across the firmware stack. The work focused on precision tracking for Virtual Target Marker (VTM), X-drive and field-relative control integration, and robust control system tuning, enabling more reliable field operations and paving the way for tighter mission execution.
November 2024 performance summary for CU-Robotics/firmware. Delivered targeted feature enhancements and a critical bug fix that improved positioning accuracy, control stability, and data integrity across the firmware stack. The work focused on precision tracking for Virtual Target Marker (VTM), X-drive and field-relative control integration, and robust control system tuning, enabling more reliable field operations and paving the way for tighter mission execution.

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