Bird-inspired dynamic grasping and perching in arboreal environments.

Area of Science:

• Robotics
• Biomechanics
• Bio-inspired Engineering

Background:

• Current robots struggle with dynamic grasping of irregular objects.
• Birds exhibit advanced perching and grasping capabilities on diverse surfaces.

Purpose of the Study:

• To develop a biomimetic robot inspired by avian perching and grasping mechanisms.
• To enable robots to dynamically perch on complex natural surfaces and grasp irregular objects.

Main Methods:

• Developed a robot with passively transforming legs to convert impact energy into grasp force.
• Utilized an underactuated grasping mechanism for rapid object acquisition (<50ms).
• Conducted perching experiments on tree branches to validate a mathematical model.

Main Results:

• The robot successfully perches on complex surfaces and grasps irregular objects.
• Mathematical model confirmed that larger scaled animals/robots require greater angular momentum for landing.
• Closed-loop balance control significantly enhances perching parameter range.

Conclusions:

• Biomimetic design effectively replicates avian perching functionality.
• Robot enables in-vivo-infeasible studies of avian leg mechanics.
• Avian toe arrangements show minimal impact on perching performance, suggesting limited selection pressure.