Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

621
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
621
Survey Safety01:28

Survey Safety

259
Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
259
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.2K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.2K
Surveys02:16

Surveys

16.3K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
16.3K
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

1.0K
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
1.0K
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

1.1K
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
1.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Intent-driven LLM ensemble planning for flexible multi-robot manipulation.

Frontiers in robotics and AI·2026
Same author

End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting.

Scientific reports·2026
Same author

A framework for semantics-based situational awareness during mobile robot deployments.

Frontiers in robotics and AI·2025
Same author

A mini-review on mobile manipulators with Variable Autonomy.

Frontiers in robotics and AI·2025
Same author

Advanced robotics for automated EV battery testing using electrochemical impedance spectroscopy.

Frontiers in robotics and AI·2025
Same author

Toward Impedance Control in Human-Machine Interfaces for Upper-Limb Prostheses.

IEEE transactions on bio-medical engineering·2024
Same journal

Editorial: Synergizing large language models and computational intelligence for advanced robotic systems.

Frontiers in robotics and AI·2026
Same journal

Editorial: Innovations in industry 4.0: advancing mobility and manipulation in robotics.

Frontiers in robotics and AI·2026
Same journal

MPM-based simulation and bounded-error compression of material points for magnetic tactile sensors.

Frontiers in robotics and AI·2026
Same journal

Torque-sensorless control of a high-ratio, backdrivable Wolfrom-gearbox for safe human-centered robotics.

Frontiers in robotics and AI·2026
Same journal

The implications of robot navigation in social space: perceptual effects of socially aware and baseline navigation.

Frontiers in robotics and AI·2026
Same journal

DPTG: diffusion policy with tactile feasibility guidance.

Frontiers in robotics and AI·2026
See all related articles

Related Experiment Video

Updated: Nov 19, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.0K

Let's Push Things Forward: A Survey on Robot Pushing.

Jochen Stüber1, Claudio Zito2, Rustam Stolkin2

  • 1IRLab, School of Computer Science, University of Birmingham, Birmingham, United Kingdom.

Frontiers in Robotics and AI
|January 27, 2021
PubMed
Summary
This summary is machine-generated.

Robotic pushing is crucial for robots operating in diverse environments. This review covers analytical and learning-based methods for predicting object motion during pushing, enhancing robot manipulation capabilities.

Keywords:
forward modelsmanipulationmotion predictionpushingrobotics

More Related Videos

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

9.0K
Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot
07:40

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Published on: June 10, 2020

15.0K

Related Experiment Videos

Last Updated: Nov 19, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.0K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

9.0K
Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot
07:40

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Published on: June 10, 2020

15.0K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Mechanical Engineering

Background:

  • Robots are increasingly deployed in unstructured environments beyond factories.
  • Effective manipulation skills are essential for robots to interact with these environments.
  • Pushing is a fundamental motion primitive that significantly expands robotic manipulation capabilities.

Purpose of the Study:

  • To provide a comprehensive review of the robotic pushing literature.
  • To focus on methods for predicting the motion of pushed objects.
  • To cover applications of pushing in robotic planning and control.

Main Methods:

  • Review of analytical approaches, including physics engines.
  • Discussion of methods for learning pushing models from data.
  • Dedicated section on recent deep learning approaches in robotic pushing.

Main Results:

  • Analytical and data-driven methods exist for predicting pushed object motion.
  • Deep learning shows a significant recent increase in relevance for robotic pushing.
  • Pushing techniques are applicable to robotic planning and control.

Conclusions:

  • Robotic pushing is a vital area for advancing robot autonomy.
  • Further research is needed to explore advanced pushing strategies and applications.
  • Integrating diverse methods will enhance robot manipulation in complex scenarios.