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Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of locomotive abilities and complex behaviors. The locomotive behaviors can consist of a variety of walking patterns along with adaptation that allow…

Neural and Evolutionary Computing · Computer Science 2016-08-08 Sakyasingha Dasgupta , Dennis Goldschmidt , Florentin Wörgötter , Poramate Manoonpong

Most locomotion methods for humanoid robots focus on leg-based gaits, yet natural bipeds frequently rely on hands, knees, and elbows to establish additional contacts for stability and support in complex environments. This paper introduces…

In collective motion, perceptually-limited individuals move in an ordered manner, without centralized control. The perception of each individual is highly localized, as is its ability to interact with others. While natural collective motion…

Robotics · Computer Science 2025-12-30 Peleg Shefi , Amir Ayali , Gal A. Kaminka

Motion perception is a critical capability determining a variety of aspects of insects' life, including avoiding predators, foraging and so forth. A good number of motion detectors have been identified in the insects' visual pathways.…

Computer Vision and Pattern Recognition · Computer Science 2019-04-04 Qinbing Fu , Hongxin Wang , Cheng Hu , Shigang Yue

An organism's ability to move freely is a fundamental behaviour in the animal kingdom. To understand animal locomotion requires a characterisation of the material properties, as well as the biomechanics and physiology. We present a…

Biological Physics · Physics 2017-02-17 Netta Cohen , Thomas Ranner

Historically, much of the research in understanding, modeling, and mining human trajectory data has focused on where an individual stays. Thus, the focus of existing research has been on where a user goes. On the other hand, the study of…

Machine Learning · Computer Science 2024-10-01 Lance Kennedy , Andreas Züfle

Animals achieve robust locomotion by offloading regulation from the brain to physical couplings within the body. In contrast, locomotion in artificial systems often depends on centralized processors. We introduce a rapid and autonomous…

Soft Condensed Matter · Physics 2025-05-16 Alberto Comoretto , Harmannus A. H. Schomaker , Johannes T. B. Overvelde

We studied locomotion of a crawler on a thin Newtonian fluid film whose viscosity varied spatially. We first derived a general locomotion velocity formula with fluid viscosity variations via the lubrication theory. For further analysis, the…

Fluid Dynamics · Physics 2024-12-23 Takahiro Kanazawa , Kenta Ishimoto

Accurate detection of locomotion transitions, such as walk to sit, walk to stair ascent, and descent, is crucial to effectively control robotic assistive devices, such as lower-limb exoskeletons, as each locomotion mode requires specific…

This paper presents a soft earthworm robot that is capable of both efficient locomotion and obstacle avoidance. The robot is designed to replicate the unique locomotion mechanisms of earthworms, which enable them to move through narrow and…

Robotics · Computer Science 2024-02-06 Sean Even , Yasemin Ozkan-Aydin

The 1mm roundworm C. elegans is a model organism used in many sub-areas of biology to investigate different types of biological processes. In order to complement the n-vivo analysis with computer-based investigations, several methods have…

Quantitative Methods · Quantitative Biology 2025-10-02 Nemanja Antonic , Monika Scholz , Aymeric Vellinger , Euphrasie Ramahefarivo , Elio Tuci

Animals are capable of precise and agile locomotion using vision. Replicating this ability has been a long-standing goal in robotics. The traditional approach has been to decompose this problem into elevation mapping and foothold planning…

Robotics · Computer Science 2022-11-15 Ananye Agarwal , Ashish Kumar , Jitendra Malik , Deepak Pathak

Sensemaking using automatically extracted information from text is a challenging problem. In this paper, we address a specific type of information extraction, namely extracting information related to descriptions of movement. Aggregating…

Human-Computer Interaction · Computer Science 2022-04-21 Scott Pezanowski , Prasenjit Mitra , Alan M. MacEachren

Locomotion and transport of microorganisms in fluids is an essential aspect of life. Search for food, orientation toward light, spreading of off-spring, and the formation of colonies are only possible due to locomotion. Swimming at the…

Biological Physics · Physics 2015-05-26 Jens Elgeti , Roland G. Winkler , Gerhard Gompper

Field-captured video facilitates detailed studies of spatio-temporal aspects of animal locomotion, decision-making and environmental interactions including predator-prey relationships and habitat utilisation. But even though data capture is…

Computer Vision and Pattern Recognition · Computer Science 2024-10-03 Malika Nisal Ratnayake , Lex Gallon , Adel N. Toosi , Alan Dorin

Collective animal movement fascinates children and scientists alike. One of the most commonly given explanations for collective animal movement is improved foraging. Animals are hypothesized to gain from searching for food in groups. Here,…

Multiagent Systems · Computer Science 2019-04-08 Ravid Cohen , Yossi Yovel , Dan Halperin

We propose an automatic system for organizing the content of a collection of unstructured videos of an articulated object class (e.g. tiger, horse). By exploiting the recurring motion patterns of the class across videos, our system: 1)…

Computer Vision and Pattern Recognition · Computer Science 2016-08-12 Luca Del Pero , Susanna Ricco , Rahul Sukthankar , Vittorio Ferrari

The human ability to detect and segment moving objects works in the presence of multiple objects, complex background geometry, motion of the observer, and even camouflage. In addition to all of this, the ability to detect motion is nearly…

Computer Vision and Pattern Recognition · Computer Science 2016-04-04 Pia Bideau , Erik Learned-Miller

Insects have tiny brains but complicated visual systems for motion perception. A handful of insect visual neurons have been computationally modeled and successfully applied for robotics. How different neurons collaborate on motion…

Neural and Evolutionary Computing · Computer Science 2019-04-16 Qinbing Fu , Cheng Hu , Pengcheng Liu , Shigang Yue

We propose a method of learning a policy for human-like locomotion via deep reinforcement learning based on a human anatomical model, muscle actuation, and biologically inspired rewards, without any inherent control rules or reference…

Graphics · Computer Science 2024-01-30 Minkwan Kim , Yoonsang Lee
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