AIMC Topic: Robotics

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Offline reward shaping with scaling human preference feedback for deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Nov 1, 2024
Designing reward functions that fully align with human intent is often challenging. Preference-based Reinforcement Learning (PbRL) provides a framework where humans can select preferred segments through pairwise comparisons of behavior trajectory seg...
Neural Networks, Computer Deep Learning Robotics Humans Choice Behavior Reward Reinforcement, Psychology
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Optimization of grinding parameters in robotic-assisted preparation of cracked teeth based on fracture mechanics: FEA and experiment.

Computer methods and programs in biomedicine Oct 31, 2024
BACKGROUND AND OBJECTIVES: If left untreated, cracked teeth can lead to tooth loss, of which the incidence is 70%. Dental preparation is an effective treatment, but it is difficult to meet the clinical requirements when traditionally prepared by dent...
Humans Computer Simulation Robotics Finite Element Analysis Tooth Preparation Stress, Mechanical Tooth Fractures
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Management of experimental workflows in robotic cultivation platforms.

SLAS technology Oct 30, 2024
In the last decades, robotic cultivation facilities combined with automated execution of workflows have drastically increased the speed of research in biotechnology. In this work, we present the design and deployment of a digital infrastructure for r...
Workflow Glucose Escherichia coli Robotics Automation, Laboratory
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Nature's All-in-One: Multitasking Robots Inspired by Dung Beetles.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Oct 30, 2024
Dung beetles impressively coordinate their 6 legs to effectively roll large dung balls. They can also roll dung balls varying in the weight on different terrains. The mechanisms underlying how their motor commands are adapted to walk and simultaneous...
Biomechanical Phenomena Behavior, Animal Locomotion Coleoptera Animals Robotics Walking
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Differential Game-Based Control for Nonlinear Human-Robot Interaction System With Unknown Desired Trajectory.

IEEE transactions on cybernetics Oct 30, 2024
Differential game is an effective technique to describe the negotiation between the humans and robots, which is widely used to realize the trajectory tracking tasks in the human-robot interaction (HRI). However, most existing works consider the contr...
Computer Simulation Robotics Nonlinear Dynamics Man-Machine Systems Game Theory Humans Algorithms
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Adaptive FPGA-Based Accelerators for Human-Robot Interaction in Indoor Environments.

Sensors (Basel, Switzerland) Oct 30, 2024
This study addresses the challenges of human-robot interactions in real-time environments with adaptive field-programmable gate array (FPGA)-based accelerators. Predicting human posture in indoor environments in confined areas is a significant challe...
Robotics Humans Algorithms Posture
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Brain Activation Pattern Caused by Soft Rehabilitation Glove and Virtual Reality Scenes: A Pilot fNIRS Study.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 29, 2024
Clinical studies have proved significant improvements in hand motor function in stroke patients when assisted by robotic devices. However, there were few studies on neural activity changes in the brain during execution. This study aimed to investigat...
Hand Strength Adult Occipital Lobe Robotics Male Middle Aged Healthy Volunteers Female Pilot Projects Hand Spectroscopy, Near-Infrared Stroke Rehabilitation Humans Aged Prefrontal Cortex Virtual Reality Motor Cortex Young Adult Brain
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Robots in the kitchen: The automation of food preparation in restaurants and the compounding effects of perceived love and disgust on consumer evaluations.

Appetite Oct 28, 2024
Restaurants are swiftly embracing automation to prepare food, experimenting with innovations from robotic arms for frying foods to pizza-making robots. While these advances promise to enhance efficiency and productivity, their impact on consumer psyc...
Food Preferences Restaurants Love Disgust Consumer Behavior Automation Cooking Robotics Taste Humans Female Young Adult Adult Male
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Highly valued subgoal generation for efficient goal-conditioned reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2024
Goal-conditioned reinforcement learning is widely used in robot control, manipulating the robot to accomplish specific tasks by maximizing accumulated rewards. However, the useful reward signal is only received when the desired goal is reached, leadi...
Learning Robotics Reward Neural Networks, Computer Algorithms Goals Reinforcement, Psychology Humans
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A Systematic Review on Rigid Exoskeleton Robot Design for Wearing Comfort: Joint Self-Alignment, Attachment Interface, and Structure Customization.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 25, 2024
Exoskeleton robots enable individuals with impaired physical functions to perform daily activities and maintain independence. However, the discomfort experienced by users when using these devices may limit the application scope of exoskeleton robots....
Patient Comfort Equipment Design Joints Exoskeleton Device Printing, Three-Dimensional Robotics Humans Biomechanical Phenomena
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