In context
As deep-space exploration advances, small-body missions have become a focus for major space agencies. Robotic sampling is a critical step for scientific analysis and resource utilization, yet the extreme microgravity and uncertain terrain of asteroids and comets pose unique engineering challenges. This review, published in late 2025, arrives as China's Tianwen-2 mission prepares for launch, highlighting the timeliness of sampling technology development.
What was reported
The article systematically reviews robotic sampling technologies for small-body exploration, analyzing technical challenges and performance metrics. It categorizes sampling into flyby, surface, and subsurface methods, and details sampler designs from notable missions: Stardust's passive aerogel collector, Hayabusa's projectile impact sampler, OSIRIS-REx's gas-driven system, and Rosetta's failed landing attempt.
Various sampler types are described, including hybrid excitation, wheel-brush, scoop, petal picker, screw-in, and adhesive types, each suited to different surface conditions. The authors propose a spider-web model for quantitative evaluation of sampler performance under uncertain environments.
Lessons from past missions emphasize the unpredictability of small-body surfaces, leading to recommendations for robust, low-impact designs. The article also notes China's development of a hybrid sampler combining ultrasonic impact drilling and gas excitation for diverse sample types.
Why it mattered
This review provides a structured framework for comparing sampling technologies, aiding future mission design. The proposed evaluation method could guide selection of samplers for upcoming missions, particularly as interest grows in asteroid resource extraction and planetary defense. The focus on low-reaction force and adaptability is crucial for successful operations in microgravity.
"The uncertainty of the environment has a great impact on the sampling plan."
Source: 《机器人》期刊 (robot.sia.cn) · Published 2025-11-19 · “小天体探测中的机器人采样技术:挑战、现状与未来展望”
