Results 131 to 140 of about 16,572 (251)

Accuracy and Inter-Subject Variability of Gait Event Detection Methods Based on Optical and Inertial Motion Capture. [PDF]

Sensors (Basel)
Zampier VC, Simonsen MB, Barbieri FA, Oliveira AS.   +3 more
europepmc   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

THE -CAPTURE PROBLEM FOR INERTIAL MOTIONS UNDER INTEGRAL CONSTRAINTS

 In this paper, we consider the -capture problem in a differential game with inertial objects (a pursuer and an evader). These objects have controls that are subject to integral constraints and start with identical initial velocity vectors in Euclidean space.
openaire   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Musculoskeletal Inverse Kinematics Tool for Inertial Motion Capture Data Based on the Adaptive Unscented Kalman Smoother: An Implementation for OpenSim. [PDF]

Ann Biomed Eng
Kortelainen MJ, Vartiainen P, Beattie A, Lavikainen J, Karjalainen PA.   +4 more
europepmc   +1 more source

Assessment of Shoulder Range of Motion Using a Wireless Inertial Motion Capture Device-A Validation Study. [PDF]

Sensors (Basel), 2019
Rigoni M, Gill S, Babazadeh S, Elsewaisy O, Gillies H, Nguyen N, Pathirana PN, Page R.   +7 more
europepmc   +1 more source

GNSS Aided Inertial Human Body Motion Capture

, 2016
Human body motion capture systems based on inertial sensors (gyroscopes andaccelerometers) are able to track the relative motions in the body precisely, oftenwith the aid of supplementary sensors. The sensor measurements are combinedthrough a sensor fusion algorithm to create estimates of, among other parame-ters, position, velocity and orientation for
openaire   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

Inertial Motion Capture-Driven Digital Human for Ergonomic Validation: A Case Study of Core Drilling. [PDF]

Sensors (Basel)
Zhao Q, Lu T, Tao M, Cheng S, Wen G.
europepmc   +1 more source