Design and Experimental Validation of the Separation and Deployment System for the CHERI Lunar Micro-Rovers
Ahmet Mustafa Kangal, Oğuzhan Şahan, Teoman Efe Aycan, Görkem Egemen Güloğlu, Halil Ersin Söken, Ali Emre Turgut, Uluç Saranlı, Mustafa Mert Ankaralı
Abstract
Reliable separation mechanisms are critical for planetary micro-rovers, which must withstand launch vibrations and then eject the vehicle clear of the lander. This paper presents the design, optimization, and testing of the separation system of the CHERI (Challenging Environment Exploration Rovers for Intelligence) lunar micro-rovers. Sized for a 5 kg vehicle, the assembly comprises an aluminum ground plate, a central non-explosive hold-down and release mechanism, and an asymmetric four-spring ejection array. Initial separation trials revealed a velocity deficit caused by energy absorption in the flexible wheel-legs and chassis during the ejection stroke. This loss was represented as equivalent chassis damping in a multi-body dynamic model, and the springs were re-optimized accordingly. Early hardware iterations failed vibration testing, first through spring jamming in the guide housings and then through a 34 Hz fundamental mode of the flat ground plate. A density-based topology optimization raised the fundamental frequency to 84 Hz, above the 70 Hz requirement of the lander, within a 1.6 kg mass budget. The final configuration passed acceptance-level sinusoidal vibration, random vibration, and shock testing without structural degradation. Separation tests with a weight-matched one-sixth mass model, tracked by optical motion capture, confirmed clearance of the lander and reproduced the simulated free flight to within the run-to-run variation of the measured ejection velocity. These tests further showed that landing outcome is dominated by touchdown and settling dynamics, indicating that the residual pitch rate is the main controllable design parameter and confirming self-righting recovery as an integral element of the deployment architecture.
Create a lesson
Related papers
ActOR: Ambient AI-Based Agentic Orchestration for Humanoid Autonomy in Operating Rooms
Han Zhang, Sicheng Lu, Aleks Santari et al.
DiMuRe: Diagnosis-Guided Multilevel Recovery for Robotic Task Execution
Renkai Yi, Yuwei Wu, Haoyu Zhang et al.
Online iLQR-MPC with Whole-Body Control for Robust Humanoid Locomotion
Xiang Li, Linlin Ou, Ruihan Wu et al.
Grasping and Stabilizing Tumbling Objects with Rotating-Base Multi-Arm Space Manipulators
Farhad Aghili
Online Hamilton-Jacobi Reachability Onboard the Robot Control Loop: A Real-Time GPU Solver for Safety-Critical Autonomy
Kevin Weekly, Alexandre M. Bayen
VARP: A Visual Adaptive Rearrangement Planner for Non-Monotone Object Rearrangement Planning
Hanwen Ren, Meng Zheng, Zhongpai Gao et al.