
Nathan Perroch developed core embedded features for the Anteater-Electric-Racing/embedded platform, focusing on safety-critical motor control, sensor data acquisition, and robust fault handling. He engineered multi-pin ADC workflows and real-time data paths using C and C++, integrating FreeRTOS for deterministic task scheduling and CAN Bus for telemetry. His work included building a precharge control system for safe high-voltage charging, enhancing APPS/BSE plausibility checks, and implementing regenerative braking support. Nathan emphasized maintainable code through modular driver design, centralized initialization, and rigorous testing infrastructure, delivering production-ready solutions that improved system reliability, safety, and testability across evolving hardware and software requirements.

June 2025 (2025-06) monthly summary for Anteater-Electric-Racing/embedded. Focused on safety-critical motor control enhancements, energy efficiency support, and build/infra cleanliness. Delivered four features with robust traceability and formalized logging/diagnostics to improve reliability, safety, and production readiness. Lays groundwork for safer HV charging and clearer fault states in production deployments.
June 2025 (2025-06) monthly summary for Anteater-Electric-Racing/embedded. Focused on safety-critical motor control enhancements, energy efficiency support, and build/infra cleanliness. Delivered four features with robust traceability and formalized logging/diagnostics to improve reliability, safety, and production readiness. Lays groundwork for safer HV charging and clearer fault states in production deployments.
In May 2025, the embedded platform for Anteater-Electric-Racing advanced reliability and maintainability through a focused set of features and infrastructure improvements. Key work included strengthening APPS/BSE fault handling, integrating an ADC-based telemetry-ready workflow, reorganizing startup and threading for deterministic initialization, and building robust testing capabilities for fault-condition scenarios. These efforts deliver measurable business value: safer fault handling for safety-critical subsystems, faster and more deterministic startup, improved testability, and a solid foundation for telemetry and CAN data transmission.
In May 2025, the embedded platform for Anteater-Electric-Racing advanced reliability and maintainability through a focused set of features and infrastructure improvements. Key work included strengthening APPS/BSE fault handling, integrating an ADC-based telemetry-ready workflow, reorganizing startup and threading for deterministic initialization, and building robust testing capabilities for fault-condition scenarios. These efforts deliver measurable business value: safer fault handling for safety-critical subsystems, faster and more deterministic startup, improved testability, and a solid foundation for telemetry and CAN data transmission.
February 2025: Delivered a deterministic, multi-pin ADC data acquisition stack and expanded hardware support to a second ADC, with improved reliability, reboot handling, and code quality. The work enables richer real-time sensor data streams, scalable expansion to 16 pins, and a solid foundation for future features.
February 2025: Delivered a deterministic, multi-pin ADC data acquisition stack and expanded hardware support to a second ADC, with improved reliability, reboot handling, and code quality. The work enables richer real-time sensor data streams, scalable expansion to 16 pins, and a solid foundation for future features.
January 2025 focused on establishing a robust, non-blocking data path for multi-pin ADC sensor acquisition in the embedded system. The work centers on a static ADC object, a unified callback mechanism, and an initialization workflow designed to support continuous data collection with low-latency reads.
January 2025 focused on establishing a robust, non-blocking data path for multi-pin ADC sensor acquisition in the embedded system. The work centers on a static ADC object, a unified callback mechanism, and an initialization workflow designed to support continuous data collection with low-latency reads.
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