A simple model predicts energetically optimised jumping in dogs

Area of Science:

• Biomechanics
• Animal Locomotion
• Robotics

Background:

• Animals minimize energy use during locomotion.
• Jumping is a versatile locomotor maneuver used by many terrestrial animals.
• Understanding the energetic costs of jumping is crucial for analyzing animal movement.

Purpose of the Study:

• To develop a simple ballistic model to identify energy-minimizing jump trajectories.
• To investigate whether domestic dogs exhibit anticipatory control in their locomotor behavior during jumps.
• To provide a model for analyzing energetically optimized behavior in constrained ballistic tasks.

Main Methods:

• Developed a simple ballistic model for the body's center of mass during jumps.
• The model identifies a unique trajectory that minimizes mechanical work for initiating a jump.
• Applied the model to analyze jump trajectories of domestic dogs over raised obstacles.

Main Results:

• The model successfully identified a unique, energy-minimizing jump trajectory.
• Domestic dogs systematically used jump trajectories close to the energy-minimizing paths.
• Dogs demonstrated complex anticipatory control of their locomotor behavior.

Conclusions:

• The developed model can identify energy-optimized ballistic trajectories.
• Domestic dogs exhibit sophisticated anticipatory control, adjusting jumps to minimize energy.
• Further research is needed to understand the mechanisms behind dogs' perceptual and control capabilities.