
Rishabh Singh contributed to the ArduPilot/ardupilot repository by developing and refining advanced flight control and simulation features over 15 months. He engineered robust EKF3 navigation enhancements, automated test harnesses, and hardware integration for GPS, rangefinders, and ESCs, focusing on reliability and configurability. Using C++ and Python, Rishabh implemented per-core sensor source selection, improved SITL simulation fidelity, and expanded autotest coverage to reduce manual validation and edge-case failures. His work addressed real-world integration challenges, such as sensor fusion robustness and calibration friction, resulting in safer, more maintainable autopilot software. The depth of his contributions strengthened both testing and operational reliability.

February 2026: Delivered a feature-oriented improvement in ArduPilot/ardupilot that enhances DSHOT ESC calibration by skipping startup checks for DSHOT ESCs. This change reduces setup friction for users deploying DSHOT-based ESCs and expands compatible hardware, contributing to smoother onboarding and more reliable initial calibration.
February 2026: Delivered a feature-oriented improvement in ArduPilot/ardupilot that enhances DSHOT ESC calibration by skipping startup checks for DSHOT ESCs. This change reduces setup friction for users deploying DSHOT-based ESCs and expands compatible hardware, contributing to smoother onboarding and more reliable initial calibration.
January 2026 monthly summary for ArduPilot/ardupilot focused on GPS SITL improvements and bug fixes. Delivered new GPS simulation options and time handling to enhance F9P simulation fidelity; addressed critical time-handling edge cases in UBlox devices; maintained SITL stability by reverting a UBLOX SITL simulation fix pending further investigation. Overall, these efforts improve GPS SITL realism, reliability, and maintainability, supporting more accurate testing and integration workflows.
January 2026 monthly summary for ArduPilot/ardupilot focused on GPS SITL improvements and bug fixes. Delivered new GPS simulation options and time handling to enhance F9P simulation fidelity; addressed critical time-handling edge cases in UBlox devices; maintained SITL stability by reverting a UBLOX SITL simulation fix pending further investigation. Overall, these efforts improve GPS SITL realism, reliability, and maintainability, supporting more accurate testing and integration workflows.
November 2025 monthly summary for ArduPilot/ardupilot focused on strengthening sensor simulation, testing coverage, and pre-arm validation, with cross-module release note accuracy improvements. Delivered multi-sensor SITL enhancements, expanded model support, and hardened pre-arm checks to reduce false negatives, contributing to safer flight operations and faster release readiness. Key outcomes: - Enhanced sensor simulation fidelity and testing coverage across LightWare GRF250 and VectorNav VN-100 models, enabling more realistic SITL scenarios and robust autotests. - Improved release note accuracy across all modules, reducing user confusion and ensuring correct rate-control references in AntennaTracker, Copter, Plane, and Rover. - Strengthened pre-arm validation logic to require a valid position origin only when External AHRS is used as the EKF source, improving reliability in unset-origin scenarios. Impacts: - Safer, more reliable autopilot testing with richer SITL sensor models. - Clearer release documentation and reduced post-release support overhead. - Fewer pre-arm failures due to misaligned origin/or EKF source handling. Technologies/skills demonstrated: - SITL integration, sensor data parsing, and CRC handling for LightWare GRF250; distance data handling; autotest coverage. - Multi-model simulation support for VN-100 in VectorNav libraries and SITL serial flow. - Cross-module release notes alignment and robust pre-arm validation logic.
November 2025 monthly summary for ArduPilot/ardupilot focused on strengthening sensor simulation, testing coverage, and pre-arm validation, with cross-module release note accuracy improvements. Delivered multi-sensor SITL enhancements, expanded model support, and hardened pre-arm checks to reduce false negatives, contributing to safer flight operations and faster release readiness. Key outcomes: - Enhanced sensor simulation fidelity and testing coverage across LightWare GRF250 and VectorNav VN-100 models, enabling more realistic SITL scenarios and robust autotests. - Improved release note accuracy across all modules, reducing user confusion and ensuring correct rate-control references in AntennaTracker, Copter, Plane, and Rover. - Strengthened pre-arm validation logic to require a valid position origin only when External AHRS is used as the EKF source, improving reliability in unset-origin scenarios. Impacts: - Safer, more reliable autopilot testing with richer SITL sensor models. - Clearer release documentation and reduced post-release support overhead. - Fewer pre-arm failures due to misaligned origin/or EKF source handling. Technologies/skills demonstrated: - SITL integration, sensor data parsing, and CRC handling for LightWare GRF250; distance data handling; autotest coverage. - Multi-model simulation support for VN-100 in VectorNav libraries and SITL serial flow. - Cross-module release notes alignment and robust pre-arm validation logic.
Month: 2025-10 This month focused on expanding hardware support, integrating LightWare peripherals, and stabilizing SITL testing. Key outcomes include new flash memory support for Cypress S25FL064L across AP_Logger and AP_Filesystem, a new LightWare serial interface and rangefinder backend with library integration, and SITL log noise reduction improving test reliability for autotests and simulations. Deliverables are catalogued with traceable commits and underscore our commitment to reliability and hardware compatibility while enabling smoother deployments.
Month: 2025-10 This month focused on expanding hardware support, integrating LightWare peripherals, and stabilizing SITL testing. Key outcomes include new flash memory support for Cypress S25FL064L across AP_Logger and AP_Filesystem, a new LightWare serial interface and rangefinder backend with library integration, and SITL log noise reduction improving test reliability for autotests and simulations. Deliverables are catalogued with traceable commits and underscore our commitment to reliability and hardware compatibility while enabling smoother deployments.
September 2025 focused on improving automated testing robustness in ArduPilot/ardupilot. Implemented a targeted autotest fix for the TetherStuck scenario to reduce flaky failures and tighten CI feedback loops, ensuring more reliable validation of flight control logic ahead of releases. The change was implemented via a single commit and validated through extended simulations and test runs.
September 2025 focused on improving automated testing robustness in ArduPilot/ardupilot. Implemented a targeted autotest fix for the TetherStuck scenario to reduce flaky failures and tighten CI feedback loops, ensuring more reliable validation of flight control logic ahead of releases. The change was implemented via a single commit and validated through extended simulations and test runs.
July 2025 monthly summary for ArduPilot/ardupilot: Delivered critical data-quality improvements and configurability enhancements. Key updates include: (1) ESC telemetry RPM handling: ensured non-negative RPM via absolute value before applying constraints to fix downstream data interpretation; (2) EKF velocity fusion: default behavior changed to disable FuseAllVelocities by default, requiring explicit configuration to fuse velocities in EKF; (3) Visual Odom AHRS alignment: refactor to better align AHRS origin with the MAV backend and added utilities to align sensor positions and apply rotations/corrections. These changes improve data integrity, safety, and integration ease, delivering business value by reducing misinterpretation of telemetry, preventing unintended state estimation changes, and accelerating sensor integration.
July 2025 monthly summary for ArduPilot/ardupilot: Delivered critical data-quality improvements and configurability enhancements. Key updates include: (1) ESC telemetry RPM handling: ensured non-negative RPM via absolute value before applying constraints to fix downstream data interpretation; (2) EKF velocity fusion: default behavior changed to disable FuseAllVelocities by default, requiring explicit configuration to fuse velocities in EKF; (3) Visual Odom AHRS alignment: refactor to better align AHRS origin with the MAV backend and added utilities to align sensor positions and apply rotations/corrections. These changes improve data integrity, safety, and integration ease, delivering business value by reducing misinterpretation of telemetry, preventing unintended state estimation changes, and accelerating sensor integration.
June 2025 focused on strengthening EKF navigation robustness and expanding test coverage in ArduPilot/ardupilot. Delivered per-core EKF3 sensor source selection and ExtNav alignment gating, fixed a DroneCAN rangefinder orientation detection edge case, and extended multi-core EKF3 testing to validate diverse sensor sources and resilience to data glitches. These workstreams improved navigation accuracy, sensor fault tolerance, and regression safety, enabling more reliable operation in mixed-sensor configurations and reducing risk in production deployments.
June 2025 focused on strengthening EKF navigation robustness and expanding test coverage in ArduPilot/ardupilot. Delivered per-core EKF3 sensor source selection and ExtNav alignment gating, fixed a DroneCAN rangefinder orientation detection edge case, and extended multi-core EKF3 testing to validate diverse sensor sources and resilience to data glitches. These workstreams improved navigation accuracy, sensor fault tolerance, and regression safety, enabling more reliable operation in mixed-sensor configurations and reducing risk in production deployments.
Month: 2025-05 — Concise monthly summary for ArduPilot/ardupilot focusing on business value and technical achievements. Key features delivered include automated validation of fence data transmission via MISSION_ITEM protocol and robust preflight calibration guards, complemented by important quality improvements in documentation and code gating to ensure reliable operation and maintainability.
Month: 2025-05 — Concise monthly summary for ArduPilot/ardupilot focusing on business value and technical achievements. Key features delivered include automated validation of fence data transmission via MISSION_ITEM protocol and robust preflight calibration guards, complemented by important quality improvements in documentation and code gating to ensure reliable operation and maintainability.
April 2025: Focused on enhancing EKF configurability, mission item persistence, and sensor fusion robustness in ArduPilot/ardupilot. Key configuration and persistence features were delivered, accompanied by a critical bug fix to ensure stable noise scaling behavior across sensors.
April 2025: Focused on enhancing EKF configurability, mission item persistence, and sensor fusion robustness in ArduPilot/ardupilot. Key configuration and persistence features were delivered, accompanied by a critical bug fix to ensure stable noise scaling behavior across sensors.
Month: 2025-03 — concise monthly work summary focusing on business value and technical achievements. Highlights include delivering advanced EKF3 features, stabilizing external navigation data fusion, and enhancing SITL realism. This period emphasized robustness, accuracy, and developer-focused tooling.
Month: 2025-03 — concise monthly work summary focusing on business value and technical achievements. Highlights include delivering advanced EKF3 features, stabilizing external navigation data fusion, and enhancing SITL realism. This period emphasized robustness, accuracy, and developer-focused tooling.
February 2025 – ArduPilot/ardupilot: Key features delivered, robustness improvements, and measurable impact on navigation reliability. Key features delivered: - EKF3 External Navigation velocity estimation with missing vertical velocity data: Enabled extnav to operate without vertical velocity by introducing fuseVelVertData, decoupling vertical and horizontal velocity fusion to improve robustness with partial data. Commits: 4d99848b44366461b0367dd0f13c4c2e55a361c0; 17ab5178b2296c6b7e48ecd4f27b3299e1ae3ec2. - Compass selection stability and failover in AP_NavEKF3: Refactored selection logic, added an overloaded tryChangeCompass, and ensured update_mag_selection reverts to the primary compass when disarmed; included validation for compass failover. Commits: c242e557bb9fcb752727c420fb498f0f759f5803; 17299bd205ca1c3ce1a677a85cb147c31583b51b. Major bugs fixed: - Revert to primary compass on ground and validation coverage: ensured stable compass failover behavior when disarmed with added autotest coverage. Commits: c242e557bb9fcb752727c420fb498f0f759f5803; 17299bd205ca1c3ce1a677a85cb147c31583b51b. Overall impact and accomplishments: - Increased navigation robustness in partial data scenarios, stabilized ground operations during compass failover, and expanded test coverage for critical navigational paths, reducing risk of mission-critical outages. Technologies/skills demonstrated: - EKF3 navigation enhancements, compass failover engineering, refactoring, test automation (autotests), validation-driven development, and robust firmware practices.
February 2025 – ArduPilot/ardupilot: Key features delivered, robustness improvements, and measurable impact on navigation reliability. Key features delivered: - EKF3 External Navigation velocity estimation with missing vertical velocity data: Enabled extnav to operate without vertical velocity by introducing fuseVelVertData, decoupling vertical and horizontal velocity fusion to improve robustness with partial data. Commits: 4d99848b44366461b0367dd0f13c4c2e55a361c0; 17ab5178b2296c6b7e48ecd4f27b3299e1ae3ec2. - Compass selection stability and failover in AP_NavEKF3: Refactored selection logic, added an overloaded tryChangeCompass, and ensured update_mag_selection reverts to the primary compass when disarmed; included validation for compass failover. Commits: c242e557bb9fcb752727c420fb498f0f759f5803; 17299bd205ca1c3ce1a677a85cb147c31583b51b. Major bugs fixed: - Revert to primary compass on ground and validation coverage: ensured stable compass failover behavior when disarmed with added autotest coverage. Commits: c242e557bb9fcb752727c420fb498f0f759f5803; 17299bd205ca1c3ce1a677a85cb147c31583b51b. Overall impact and accomplishments: - Increased navigation robustness in partial data scenarios, stabilized ground operations during compass failover, and expanded test coverage for critical navigational paths, reducing risk of mission-critical outages. Technologies/skills demonstrated: - EKF3 navigation enhancements, compass failover engineering, refactoring, test automation (autotests), validation-driven development, and robust firmware practices.
January 2025: Delivered GPS Moving Baseline Configuration Support for ArduPilot. Implemented a new hardware definition define to enable GPS moving baseline functionality across GPS receivers, enabling more accurate and robust navigation during moving-base missions. This change reduces manual configuration steps and lays groundwork for broader GPS receiver compatibility. Commit referenced: d6e0411e0d544d6e080d1968b44e5991255f0971.
January 2025: Delivered GPS Moving Baseline Configuration Support for ArduPilot. Implemented a new hardware definition define to enable GPS moving baseline functionality across GPS receivers, enabling more accurate and robust navigation during moving-base missions. This change reduces manual configuration steps and lays groundwork for broader GPS receiver compatibility. Commit referenced: d6e0411e0d544d6e080d1968b44e5991255f0971.
December 2024 monthly summary for ArduPilot/ardupilot focusing on automated testing improvements for ArduCopter simulator. Delivered an automated tether-stuck scenario test, enhancing safety validation and reducing manual testing effort. The test harness enables tether simulation, configurable tether line length, and monitors critical flight metrics to verify stability before landing and disarm. The work strengthens testing coverage for tether-related edge cases and supports faster feedback to developers and flight testers.
December 2024 monthly summary for ArduPilot/ardupilot focusing on automated testing improvements for ArduCopter simulator. Delivered an automated tether-stuck scenario test, enhancing safety validation and reducing manual testing effort. The test harness enables tether simulation, configurable tether line length, and monitors critical flight metrics to verify stability before landing and disarm. The work strengthens testing coverage for tether-related edge cases and supports faster feedback to developers and flight testers.
In 2024-11, delivered a tethered vehicle SITL simulator for ArduPilot that enhances realism and safety testing in the SITL environment. The feature provides configurable tether dynamics (density, length, spring constant), an option to simulate a stuck tether, and status reporting to the Ground Control Station, enabling better validation of tethered operations and mission planning.
In 2024-11, delivered a tethered vehicle SITL simulator for ArduPilot that enhances realism and safety testing in the SITL environment. The feature provides configurable tether dynamics (density, length, spring constant), an option to simulate a stuck tether, and status reporting to the Ground Control Station, enabling better validation of tethered operations and mission planning.
2023-09 monthly summary: Focused on hardening altimeter data handling in ArduPilot. Delivered a critical bug fix in AP_Baro to prevent zero altitude origin from being used as field elevation, eliminating a path to invalid elevation values and ensuring reliable altitude calculations across flight modes. This change reduces the risk of navigation errors caused by incorrect field elevation, improving safety and mission reliability. No new features deployed this month; effort centered on stability, correctness, and code quality.
2023-09 monthly summary: Focused on hardening altimeter data handling in ArduPilot. Delivered a critical bug fix in AP_Baro to prevent zero altitude origin from being used as field elevation, eliminating a path to invalid elevation values and ensuring reliable altitude calculations across flight modes. This change reduces the risk of navigation errors caused by incorrect field elevation, improving safety and mission reliability. No new features deployed this month; effort centered on stability, correctness, and code quality.
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