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

766
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...
766
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

677
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
677
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

858
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
858
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

5.8K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
5.8K
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

728
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
728
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

767
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
767

You might also read

Related Articles

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

Sort by
Same author

Image, speech, and ADS-B trajectory datasets for terminal airspace operations.

Scientific data·2025
Same author

Representation granularity enables time-efficient autonomous exploration in large, complex worlds.

Science robotics·2023
Same author

Visual Servoing Approach to Autonomous UAV Landing on a Moving Vehicle.

Sensors (Basel, Switzerland)·2022
Same journal

DNA origami snaps into place.

Science robotics·2026
Same journal

A high-endurance DNA origami snap-through switch for functional nanoscale control.

Science robotics·2026
Same journal

Learning flight navigation like a honey bee.

Science robotics·2026
Same journal

Is your robot vacuum cleaner spying on you?

Science robotics·2026
Same journal

Do people feel safe in a robot's presence?

Science robotics·2026
Same journal

Stop chasing identical outcomes in HRI replication: Learn from the differences.

Science robotics·2026
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Long-term Sensory Conflict in Freely Behaving Mice
06:12

Long-term Sensory Conflict in Freely Behaving Mice

Published on: February 20, 2019

7.1K

Resilient odometry via hierarchical adaptation.

Shibo Zhao1, Sifan Zhou1, Yuchen Zhang1

  • 1Carnegie Mellon University, Pittsburgh, PA, USA.

Science Robotics
|December 10, 2025
PubMed
Summary
This summary is machine-generated.

Super Odometry is a new sensor fusion framework that adapts to environmental changes for robust robot navigation. It ensures reliable autonomous system operation even with severe sensor degradation or extreme conditions.

More Related Videos

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation
08:04

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

8.7K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.0K

Related Experiment Videos

Last Updated: Jan 9, 2026

Long-term Sensory Conflict in Freely Behaving Mice
06:12

Long-term Sensory Conflict in Freely Behaving Mice

Published on: February 20, 2019

7.1K
Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation
08:04

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

8.7K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.0K

Area of Science:

  • Robotics
  • Autonomous Systems
  • Sensor Fusion

Background:

  • Robust odometry is essential for autonomous systems in dynamic environments.
  • Current systems fail under severe sensory degradation (e.g., smoke, low light).
  • This limits robot safety and functionality in challenging conditions.

Purpose of the Study:

  • To develop a sensor fusion framework that dynamically adapts to environmental degradation.
  • To enhance the resilience and robustness of odometry for autonomous robots.
  • To provide a reliable fallback mechanism when external sensors fail.

Main Methods:

  • Introduced Super Odometry, a hierarchical sensor fusion framework.
  • Integrated adaptive feature selection, state direction selection, and engine selection.
  • Incorporated learning-based inertial odometry, trained on 100+ hours of data.
  • Elevated the importance of inertial measurement units (IMUs) alongside cameras and LiDAR.

Main Results:

  • Super Odometry demonstrated adaptability to varying levels of environmental degradation.
  • Validated across 200 km and 800 operational hours on diverse robot platforms (aerial, wheeled, legged).
  • Showcased reliable performance under various sensor configurations and aggressive motion profiles.

Conclusions:

  • Super Odometry significantly improves robotic autonomy in degraded environments.
  • It offers a reliable solution for long-term autonomous operation where sensors may fail.
  • Represents a key advancement toward safe and dependable robotic systems in all conditions.