CMU-cabot/cabot-navigation
Oct 2024 – Mar 2025
6 Months active
Languages Used
C++CMakeYAMLyamlcpp
Technical Skills
Algorithm DevelopmentAlgorithm OptimizationC++C++ DevelopmentCode RefactoringCollision Avoidance
YumaMatsumura-kufusha
PROFILE
Yumamatsumura-kufusha
Y. Matsumura developed advanced navigation and safety features for the CMU-cabot/cabot-navigation repository, focusing on dynamic obstacle avoidance and pedestrian-aware speed control. Over six months, Matsumura engineered velocity obstacle processing, Gaussian-gain-based speed limit calculations, and robust lidar-based collision detection, all implemented in C++ with ROS2 and YAML-driven configuration. The work included refactoring for code readability, parameter tuning, and visualization enhancements to support safer, more reliable autonomous navigation. By integrating real-time odometry, configurable safety margins, and dynamic speed constraints, Matsumura improved both system responsiveness and maintainability, demonstrating depth in algorithm development, embedded systems, and robotics software engineering.
Overall Statistics
Feature vs Bugs
84%Features
Repository Contributions
76Total
Bugs
3
Commits
76
Features
16
Lines of code
2,708
Activity Months6
Your Network
18 peopleSame Organization
@kufusha.com5
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for CMU-cabot/cabot-navigation: Delivered a Gaussian-Gain-Based Speed Limit Control feature to refine pedestrian-aware speed limits using Gaussian gain on position and velocity variances. Updated configuration and source to include min_pos_gain and min_vel_gain parameters, enabling robust tuning of safety margins. Integrated the mechanism into the navigation pipeline to adjust speeds in proximity to pedestrians and relative motion, improving pedestrian safety and system responsiveness. No major bugs fixed this period; primary focus was feature delivery, parameterization, and validation readiness for safer navigation.
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for CMU-cabot/cabot-navigation: Delivered a Gaussian-Gain-Based Speed Limit Control feature to refine pedestrian-aware speed limits using Gaussian gain on position and velocity variances. Updated configuration and source to include min_pos_gain and min_vel_gain parameters, enabling robust tuning of safety margins. Integrated the mechanism into the navigation pipeline to adjust speeds in proximity to pedestrians and relative motion, improving pedestrian safety and system responsiveness. No major bugs fixed this period; primary focus was feature delivery, parameterization, and validation readiness for safer navigation.
March 2025
February 2025
15 Commits • 2 Features
Feb 1, 2025February 2025 performance summary for CMU-cabot/cabot-navigation focused on safety-critical speed control, robustness around pedestrians/obstacles, and maintainability. Delivered features and fixes that improve navigation safety and reliability, while enhancing code quality and CI readiness.
February 2025
15 Commits • 2 Features
Feb 1, 2025February 2025 performance summary for CMU-cabot/cabot-navigation focused on safety-critical speed control, robustness around pedestrians/obstacles, and maintainability. Delivered features and fixes that improve navigation safety and reliability, while enhancing code quality and CI readiness.
January 2025
14 Commits • 5 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for CMU-cabot/cabot-navigation. Focused on delivering safer, more reliable navigation with measurable business value, while reducing maintenance burden through targeted refactors and cleanups. The work centers on velocity obstacle (VO) processing improvements, speed control accuracy near obstacles, and enhanced safety visibility, underpinned by code quality improvements and configuration cleanup.
14 Commits • 5 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for CMU-cabot/cabot-navigation. Focused on delivering safer, more reliable navigation with measurable business value, while reducing maintenance burden through targeted refactors and cleanups. The work centers on velocity obstacle (VO) processing improvements, speed control accuracy near obstacles, and enhanced safety visibility, underpinned by code quality improvements and configuration cleanup.
January 2025
December 2024
11 Commits • 2 Features
Dec 1, 2024Month: 2024-12 — CMU-cabot/cabot-navigation Key deliverables: - Lidar and Obstacle Detection Enhancements: visual debugging markers for check_front_obstacle, rectangular front-check region, footprint-based dynamic front region width, refined lidar visualization, and code cleanup (removing FootprintMode). Commits include d1e89eae53408cd779bd0816436a62ee9809019d; 5685e38fb6aa8f44cbf2b88fb659fb0f6ce2acee; 087be8ffb6007aaf28ed04dc76d34bd23431b43d; fcae9dedf1ac640a88a9636de084a04df51b7c00; 1d8c83ca28060e89b76467bece59b7224502e744; 817182f5431b1d32c5f1b696539489a313deb687. - Collision Avoidance and Velocity Obstacle Evolution: updated velocity obstacle interfaces, added person_speed_threshold, quadratic collision analysis, velocity range offset parameter for robot speed, and collision_time_horizon parameter in YAML; aligned to revised topic specs. Commits include 294ee6b9f6cdf16a4f70833f228eae1581f50430; 978974c933194ba1700010abd70e298d4788b7d4; 118dd7f3e768e0d509c36b321dbd5e5da1863be5; dc8d61240283c67a16361e93aaac2d90d6ed1c8c; 7ee2204a8456ba3562dab4207f20c4fe1bb3b6e6. - Bug fix: resolved display of unnecessary point clouds, reducing noise and rendering overhead. - Impact and skills: improved safety and reliability in dynamic environments, improved maintainability and configurability, and demonstration of optimized sensor fusion, obstacle detection, and collision-prediction techniques.
December 2024
11 Commits • 2 Features
Dec 1, 2024Month: 2024-12 — CMU-cabot/cabot-navigation Key deliverables: - Lidar and Obstacle Detection Enhancements: visual debugging markers for check_front_obstacle, rectangular front-check region, footprint-based dynamic front region width, refined lidar visualization, and code cleanup (removing FootprintMode). Commits include d1e89eae53408cd779bd0816436a62ee9809019d; 5685e38fb6aa8f44cbf2b88fb659fb0f6ce2acee; 087be8ffb6007aaf28ed04dc76d34bd23431b43d; fcae9dedf1ac640a88a9636de084a04df51b7c00; 1d8c83ca28060e89b76467bece59b7224502e744; 817182f5431b1d32c5f1b696539489a313deb687. - Collision Avoidance and Velocity Obstacle Evolution: updated velocity obstacle interfaces, added person_speed_threshold, quadratic collision analysis, velocity range offset parameter for robot speed, and collision_time_horizon parameter in YAML; aligned to revised topic specs. Commits include 294ee6b9f6cdf16a4f70833f228eae1581f50430; 978974c933194ba1700010abd70e298d4788b7d4; 118dd7f3e768e0d509c36b321dbd5e5da1863be5; dc8d61240283c67a16361e93aaac2d90d6ed1c8c; 7ee2204a8456ba3562dab4207f20c4fe1bb3b6e6. - Bug fix: resolved display of unnecessary point clouds, reducing noise and rendering overhead. - Impact and skills: improved safety and reliability in dynamic environments, improved maintainability and configurability, and demonstration of optimized sensor fusion, obstacle detection, and collision-prediction techniques.
November 2024
16 Commits • 3 Features
Nov 1, 2024November 2024 - CMU-cabot/cabot-navigation focused on safety, real-time adaptability, and maintainability. Key features were delivered to enhance autonomous navigation safety and performance, while code health and observability were improved to support future development and testing.
16 Commits • 3 Features
Nov 1, 2024November 2024 - CMU-cabot/cabot-navigation focused on safety, real-time adaptability, and maintainability. Key features were delivered to enhance autonomous navigation safety and performance, while code health and observability were improved to support future development and testing.
November 2024
October 2024
18 Commits • 3 Features
Oct 1, 2024October 2024 monthly summary for CMU-cabot/cabot-navigation: Delivered targeted improvements to dynamic obstacle avoidance and pedestrian safety, while consolidating code quality efforts to reduce maintenance burden. Achievements include VO enhancements with refined speed-limit logic and VO interval handling, clearer separation of velocity obstacle and social distance processing, and visual VO markers; integration of people_speed_limit for safer navigation around people; plus code quality refactors to consolidate transform lookup and improve test-related formatting. These efforts increased safety, reliability, and developer productivity, enabling safer operation in cluttered environments and smoother future maintenance.
October 2024
18 Commits • 3 Features
Oct 1, 2024October 2024 monthly summary for CMU-cabot/cabot-navigation: Delivered targeted improvements to dynamic obstacle avoidance and pedestrian safety, while consolidating code quality efforts to reduce maintenance burden. Achievements include VO enhancements with refined speed-limit logic and VO interval handling, clearer separation of velocity obstacle and social distance processing, and visual VO markers; integration of people_speed_limit for safer navigation around people; plus code quality refactors to consolidate transform lookup and improve test-related formatting. These efforts increased safety, reliability, and developer productivity, enabling safer operation in cluttered environments and smoother future maintenance.
Activity
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Quality Metrics
Correctness86.8%
Maintainability87.0%
Architecture83.2%
Performance77.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeYAMLcppyaml
Technical Skills
Algorithm DevelopmentAlgorithm OptimizationBug FixingC++C++ DevelopmentCMakeCode CleanupCode DocumentationCode FormattingCode ReadabilityCode RefactoringCollision AvoidanceCollision DetectionConfiguration ManagementControl Systems
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