ArXiv TLDR

Micro-Dexterity in Biological Micromanipulation: Embodiment, Perception, and Control

🐦 Tweet
2604.11640

Kangyi Lu, Lan Wei, Zongcai Tan, Dandan Zhang

cs.ROeess.SY

TLDR

This review introduces "micro-dexterity" as a framework to analyze biological micromanipulation, considering embodiment, perception, and control challenges.

Key contributions

  • Introduces "micro-dexterity" as a framework for biological micromanipulation.
  • Analyzes microscale manipulation through embodiment, perception, and control.
  • Examines how classical manipulation primitives are reformulated for micro-objects.
  • Compares diverse micromanipulation architectures and identifies future challenges.

Why it matters

Microscale biological manipulation faces unique challenges due to fluidic environments and fragile targets. This paper provides a crucial framework to understand and advance precise, adaptive interactions with micro-objects, highlighting current limitations and future research directions for clinical translation.

Original Abstract

Microscale manipulation has advanced substantially in controlled locomotion and targeted transport, yet many biomedical applications require precise and adaptive interaction with biological micro-objects. At these scales, manipulation is realized through three main classes of platforms: embodied microrobots that physically interact as mobile agents, field-mediated systems that generate contactless trapping or manipulation forces, and externally actuated end-effectors that interact through remotely driven physical tools. Unlike macroscale manipulators, these systems function in fluidic, confined, and surface-dominated environments characterized by negligible inertia, dominant interfacial forces, and soft, heterogeneous, and fragile targets. Consequently, classical assumptions of dexterous manipulation, including rigid-body contact, stable grasping, and rich proprioceptive feedback, become difficult to maintain. This review introduces micro-dexterity as a framework for analyzing biological micromanipulation through the coupled roles of embodiment, perception, and control. We examine how classical manipulation primitives, including pushing, reorientation, grasping, and cooperative manipulation, are reformulated at the microscale; compare the architectures that enable them, from contact-based micromanipulators to contactless field-mediated systems and cooperative multi-agent platforms; and review the perception and control strategies required for task execution. We identify the current dexterity gap between laboratory demonstrations and clinically relevant biological manipulation, and outline key challenges for future translation.

📬 Weekly AI Paper Digest

Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.