Related Experiment Video
Updated: Aug 29, 2025

09:36
Measurement of Spatial Stability in Precision Grip
Published on: June 4, 2020
3.3K
Stability of inverted pendulum reveals transition between predictive control and impedance control in grip force
Summary
Human sensorimotor control adapts grip force for unstable objects. Grip force increases during stabilization, but modulates based on object dynamics and anticipated forces for better manipulation control.
Area of Science:
- Neuroscience
- Robotics
- Human-Computer Interaction
Background:
- The sensorimotor system must represent object dynamics for effective manipulation and grip force control.
- Maintaining grip force involves balancing object stability against excessive force to prevent slips, fatigue, or damage.
- Control strategies for unstable objects remain less understood compared to stable ones.
Purpose of the Study:
- To investigate how the human sensorimotor system adjusts grip force when manipulating unstable objects with varying dynamics.
- To explore the control strategies employed during the stabilization of an inverted pendulum.
Main Methods:
- Human participants stabilized inverted pendulums of five different lengths, altering object dynamics and controllability.
- Grip force changes were measured during stabilization and marginally stable states.
- Analysis focused on grip force modulation in response to pendulum dynamics.
Main Results:
- Two distinct states were observed: a marginally stable state and a stabilization state.
- During stabilization, grip force generally increased.
- For less controllable pendulums, grip force increased; for larger pendulums, participants modulated grip force based on anticipated load forces.
Conclusions:
- Pendulum dynamics significantly influence sensorimotor control strategies during object manipulation.
- The findings suggest a shift between predictive control and impedance control based on object dynamics.
- This research provides insights into adaptive grip force regulation for handling complex, unstable objects.
Related Concept Videos
Time-Domain Interpretation of PD Control
168
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
168
Stability
184
The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
184
Control System Problem
166
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
166
Simple Pendulum
4.9K
A simple pendulum consists of a small diameter ball suspended from a string, which has negligible mass but is strong enough to not stretch. In our daily life, pendulums have many uses, such as in clocks, on a swing set, and on a sinker on a fishing line.
The period of a simple pendulum depends on two factors: its length and the acceleration due to gravity. The period is completely independent of any other factors, such as mass or maximum displacement. For small displacements, a pendulum...
The period of a simple pendulum depends on two factors: its length and the acceleration due to gravity. The period is completely independent of any other factors, such as mass or maximum displacement. For small displacements, a pendulum...
4.9K
Time and frequency -Domain Interpretation of PI Control
188
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
188
Physical Pendulum
1.9K
When a rigid body is hanging freely from a fixed pivot point and is displaced, it oscillates similar to a simple pendulum and is known as a physical pendulum. The period and angular frequency of a physical pendulum are obtained by using the small-angle approximation and drawing parallels with a spring-mass system. The small-angle approximation (sinθ=θ) is valid up to about 14°.
When dealing with complicated systems, the mass moment of inertia is an important parameter, as it...
When dealing with complicated systems, the mass moment of inertia is an important parameter, as it...
1.9K

