
Emil Sahel developed and refined core actuation subsystems for FRC7902/Offseason-Reefscape2025-Team-Fire, focusing on the elevator, arm, and algae intake mechanisms. He architected and integrated elevator and arm subsystems using Java and WPILib, implementing CAN bus-based sensing, PID tuning, and safety interlocks to ensure reliable and predictable robot control. Emil enhanced simulation fidelity to align with real-world behavior, enabling safer and faster testing cycles. He addressed control accuracy by calibrating constants, refining motion constraints, and simplifying rotation logic. His work demonstrated depth in subsystem integration, safety implementation, and control systems, resulting in robust, maintainable, and testable robotics code.

September 2025 performance summary for FRC7902/Offseason-Reefscape2025-Team-Fire: Focused on safety, reliability, and control accuracy for the elevator subsystem and algae intake. Delivered Elevator-Arm Safety Interlocks with a refactor of MoveElevatorArmCommand to account for arm angle, plus ArmSubsystem SysId capabilities for tuning. Completed Elevator Control Tuning and Height Configuration with calibrated constants, expanded max height, refined L1-L3 setpoints, and tightened motion constraints, validated on real robot. Improved Algae Intake reliability by removing unnecessary timeouts and ensuring stable operation across elevator positions and algae presence. Simplified Rotation Control by removing elevation-dependent rotation speed scaling to reduce coupling with elevation state. These changes enhance safety, predictability, and field performance, enabling more consistent autonomous and operator-driven tasks and easing future tuning.
September 2025 performance summary for FRC7902/Offseason-Reefscape2025-Team-Fire: Focused on safety, reliability, and control accuracy for the elevator subsystem and algae intake. Delivered Elevator-Arm Safety Interlocks with a refactor of MoveElevatorArmCommand to account for arm angle, plus ArmSubsystem SysId capabilities for tuning. Completed Elevator Control Tuning and Height Configuration with calibrated constants, expanded max height, refined L1-L3 setpoints, and tightened motion constraints, validated on real robot. Improved Algae Intake reliability by removing unnecessary timeouts and ensuring stable operation across elevator positions and algae presence. Simplified Rotation Control by removing elevation-dependent rotation speed scaling to reduce coupling with elevation state. These changes enhance safety, predictability, and field performance, enabling more consistent autonomous and operator-driven tasks and easing future tuning.
August 2025 performance summary for FRC Team Fire (FRC7902). This month focused on delivering core actuation subsystems, enabling safe and reliable automated moves, and strengthening simulation fidelity to reduce hardware risk and accelerate testing. Completed architecture for Elevator and Arm subsystems, integrated into RobotContainer, enhanced CAN-based sensing, added current limits, and tuned PID controllers for both arm and elevator. Implemented safety triggers for enumerated and meter-position moves, and established groundwork for MotionMagic-based arm control in simulation. All changes are designed to improve reliability, predictability, and alignment between simulation and real-world behavior, enabling faster iteration cycles and safer autonomous/teleoperated operations.
August 2025 performance summary for FRC Team Fire (FRC7902). This month focused on delivering core actuation subsystems, enabling safe and reliable automated moves, and strengthening simulation fidelity to reduce hardware risk and accelerate testing. Completed architecture for Elevator and Arm subsystems, integrated into RobotContainer, enhanced CAN-based sensing, added current limits, and tuned PID controllers for both arm and elevator. Implemented safety triggers for enumerated and meter-position moves, and established groundwork for MotionMagic-based arm control in simulation. All changes are designed to improve reliability, predictability, and alignment between simulation and real-world behavior, enabling faster iteration cycles and safer autonomous/teleoperated operations.
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