AIMC Topic: Goals
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A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning.
PloS one
Nov 4, 2015
A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that ...
Goal-oriented robot navigation learning using a multi-scale space representation.
Neural networks : the official journal of the International Neural Network Society
Oct 19, 2015
There has been extensive research in recent years on the multi-scale nature of hippocampal place cells and entorhinal grid cells encoding which led to many speculations on their role in spatial cognition. In this paper we focus on the multi-scale nat...
Practical Recommendations for Robot-Assisted Treadmill Therapy (Lokomat) in Children with Cerebral Palsy: Indications, Goal Setting, and Clinical Implementation within the WHO-ICF Framework.
Neuropediatrics
May 26, 2015
Active participation and the highest level of independence during daily living are primary goals in neurorehabilitation. Therefore, standing and walking are key factors in many rehabilitation programs. Despite inconclusive evidence considering the be...
Goal-directed multimodal locomotion through coupling between mechanical and attractor selection dynamics.
Bioinspiration & biomimetics
Mar 26, 2015
One of the most significant challenges in bio-inspired robotics is how to realize and take advantage of multimodal locomotion, which may help robots perform a variety of tasks adaptively in different environments. In order to address the challenge pr...
A hierarchical model of goal directed navigation selects trajectories in a visual environment.
Neurobiology of learning and memory
Jul 29, 2014
We have developed a Hierarchical Look-Ahead Trajectory Model (HiLAM) that incorporates the firing pattern of medial entorhinal grid cells in a planning circuit that includes interactions with hippocampus and prefrontal cortex. We show the model's fle...
Behavior classification: Introducing machine learning approaches for classification of sign-tracking, goal-tracking and beyond.
PloS one
Jan 1, 2025
Classifying behaviors in research often relies on predetermined or subjective cutoff values, which can introduce inconsistencies and reduce objectivity. For example, in Pavlovian conditioning studies, rodents display diverse behaviors which can be qu...
Navigating challenges and opportunities: AI's contribution to Pakistan's sustainable development goals agenda - a narrative review.
JPMA. The Journal of the Pakistan Medical Association
Apr 1, 2024
Sustainable Developmental Goals (SDGs) were introduced by the United Nations to ensure the sustainable progress of mankind through various domains. Pakistan, a low-middle-income country, faces many challenges in achieving SDGs. Artificial Intelligenc...
Cooperative Goal Generation for Reaching Tasks in Robot-Assisted Rehabilitation.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Sep 1, 2023
Robot-assisted neurorehabilitation requires automated generation of goal positions for reaching tasks in functional movement therapy. In state-of-the-art solutions, these positions are determined by a motivational therapy game either through constrai...
Stop the emerging AI cold war.
Nature
May 1, 2021
Categorization of birth weight phenotypes for inclusion in genetic evaluations using a deep neural network.
Journal of animal science
Mar 1, 2021
Birth weight (BW) serves as a valuable indicator of the economically relevant trait of calving ease (CE), and erroneous data collection for BW could impact genetic evaluations for CE. The objective of the current study was to evaluate the use of deep...
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