Biologically-inspired heuristics for human-like walking trajectories toward targets and around obstacles. Rushton, S. & Allison, R. Displays, 34(2):105-113, 2013.
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-2 doi abstract bibtex
Paper -1 -2 doi abstract bibtex We describe simple heuristics, based on perceptual variables, that produce human-like trajectories towards moving and stationary targets, and around moving and stationary obstacles. Interception of moving and stationary objects can be achieved through regulation of self-movement to maintain a target at a constant eccentricity, or by cancelling the change (drift) in the eccentricity of the target. We first show how a constant eccentricity strategy can be extended to home in on optimal paths and avoid obstacles. We then identify a simple visual speed ratio that signals a future collision, and the change in path needed for avoidance. The combination of heuristics based on eccentricity and the speed-ratio produces human-like behaviour. The heuristics can be used to animate avatars in virtual environments or to guide mobile robots. Combined with higher-level goal setting and way-finding behaviours, such navigation heuristics could provide the foundation for generative models of natural human locomotion
@article{Rushton:2020fj,
abstract = {We describe simple heuristics, based on perceptual variables, that produce human-like trajectories towards moving and stationary targets, and around moving and stationary obstacles. Interception of moving and stationary objects can be achieved through regulation of self-movement to maintain a target at a constant eccentricity, or by cancelling the change (drift) in the eccentricity of the target. We first show how a constant eccentricity strategy can be extended to home in on optimal paths and avoid obstacles. We then identify a simple visual speed ratio that signals a future collision, and the change in path needed for avoidance. The combination of heuristics based on eccentricity and the speed-ratio produces human-like behaviour. The heuristics can be used to animate avatars in virtual environments or to guide mobile robots. Combined with higher-level goal setting and way-finding behaviours, such navigation heuristics could provide the foundation for generative models of natural human locomotion},
author = {Rushton, S.K. and Allison, R.S.},
date-added = {2012-10-13 00:14:48 +0000},
date-modified = {2014-09-26 01:20:57 +0000},
doi = {10.1016/j.displa.2012.10.006},
journal = {Displays},
keywords = {Optic flow & Self Motion (also Locomotion & Aviation)},
number = {2},
pages = {105-113},
title = {Biologically-inspired heuristics for human-like walking trajectories toward targets and around obstacles},
url = {http://percept.eecs.yorku.ca/papers/displays.pdf},
url-1 = {http://dx.doi.org/10.1016/j.displa.2012.10.006},
volume = {34},
year = {2013},
url-1 = {http://percept.eecs.yorku.ca/papers/displays.pdf},
url-2 = {https://doi.org/10.1016/j.displa.2012.10.006}}Downloads: 0
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