Arthur D. Kuo

On attaining and estimating steady walking speed

This paper shows that short gait tests underestimate steady walking speed and proposes a method to correct for this bias using multiple distance measurements.

Energy and time trade-offs explain everyday human reaching movements

This paper introduces an Energy-Time trade-off model to explain the smoothness, speed, and individuality of human reaching movements, showing it outperforms previous models.

The energetic cost of human walking as a function of uneven terrain amplitude

This paper quantifies the energy cost of walking on uneven terrain, showing it increases quadratically with amplitude and cubically with speed.

A split-belt instrumented treadmill with uneven terrain

This paper describes modifications to a split-belt instrumented treadmill to enable use on uneven terrain, demonstrating accurate ground reaction force measurements.

On the rate-limiting dynamics of force development in muscle

The paper develops a new muscle model that integrates force development dynamics, finding that conventional processes cannot explain force production speed, and proposes 'force facilitation dynamics' as a key rate-limiting factor.

Milliseconds matter: Biomechanical inverse dynamics analysis is highly sensitive to imperfect data synchronization

This study quantifies how biomechanical inverse dynamics analysis is highly sensitive to temporal mis-synchronization in data, showing significant errors in joint moments and powers with even small delays.

Mechanical Work Accounts for Most of the Energetic Cost in Human Running

The paper estimates the energetic cost of human running and finds that active muscle work accounts for most of the cost, even when considering passive elastic contributions.

The energetic basis for smooth human arm movements

This study shows that smooth human arm movements are energetically optimal, as jerkier motions require more metabolic energy due to increased muscle force production rates.

An optimality principle for locomotor central pattern generators

The paper proposes an optimality principle for combining central pattern generators and reflex circuits in locomotion, showing how uncertainty-driven feedback optimizes gait stability and energy efficiency.