An augmented reality-based wearable system for handheld-free and intuitive robot programming

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Digital division is a pivotal operation in a number of domains, such as scientific computation, cryptography, digital signal processing, and machine learning, and has been broadly researched in the past decades. However, the increasing demand for efficient ...

A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social navigation has advanced tremendously in recent years, the fair evaluation of algorithms t ...

Photorealistic synthetic data and novel rendering techniques significantly advanced computer vision research. However, datasets focused on computer vision applications cannot be easily applied to robotics because they typically lack physics-related informa ...

Implementing virtual fixtures in guiding tasks constrains the movement of the robot's end effector to specific curves within its workspace. However, incorporating guiding frameworks may encounter discontinuities when optimizing the reference target positio ...

The renowned van der Waals (VDW) state equation quantifies the equilibrium relationship between the pressure P, volume V, and temperature (Formula presented.) of a real gas. We assign new variable interpretations adapted to the economic context: (Formula p ...

Large Language Models (LLMs) present a promising frontier in robotic task planning by leveraging extensive human knowledge. Nevertheless, the current literature often overlooks the critical aspects of robots' adaptability and error correction. This work ai ...

Image information about the state of a building after an earthquake, which can be collected without endangering the post-earthquake reconnaissance activities, can be used to reduce uncertainties in response predictions for future seismic events. This paper ...

Robotics and neuroscience are sister disciplines that both aim to understand how agile, efficient, and robust locomotion can be achieved in autonomous agents. Robotics has already benefitted from neuromechanical principles discovered by investigating anima ...

To make social robots effective in education, they need to be autonomous both in terms of assessing the student's engagement state as well as intervening effectively in soft real-time when necessary. Hidden Markov Model (HMM) is an interpretable machine le ...

From surgery to watchmaking, fine-manipulation skills highly rely on the dexterity afforded by both hands. Coordination is key to human dexterity. Specifically, humans need not only to govern the abundant intrinsic degrees of freedom (DOFs) to allocate con ...

Task-specific training constitutes a core element for evidence-based rehabilitation strategies targeted at improving upper extremity activity after stroke. Its combination with additional treatment strategies and neurotechnologybased solutions could furthe ...

When the question of who should get access to a communal resource first is uncertain, people often negotiate via nonverbal communication to resolve the conflict. What should a robot be programmed to do when such conflicts arise in Human-Robot Interaction? ...

Understanding the external environment depends heavily on vision, audition, and touch. Like vision and audition, the human sense of touch is complex. Tactile perception is composed of multiple fundamental and physical experiences felt as changes in stiffne ...

The articles in this special section focus on long term human motion prediction. This represents a key ability for advanced autonomous systems, especially if they operate in densely crowded and highly dynamic environments. In those settings understanding a ...

This letter presents closed-loop position control of a pneumatically actuated modular robotic platform "pneumagami" that can be stacked to enlarge work and design space for wearable applications. The module is a 3 degrees of freedom (DoF) parallel robot wi ...

The dielectric elastomer actuator (DEA) is a technology known to potentially provide high energy density (0.3 - 0.4 J.cm(-3)). However, in the literature, few demonstrations have been done to evaluate this figure. To well understand the ability of this tec ...

Propulsion of swimming robots at the surface and underwater is largely dominated by rotary propellers due to high thrust, but at the cost of low efficiency. Due to their inherently high speed turning motion, sharp propeller blades and generated noise, they ...

The rise of data-intensive applications has resulted in an increasing demand for high-density and low-power on-chip embedded memories. Gain-cell embedded DRAM (GC-eDRAM) is a logic-compatible alternative to conventional static random access memory (SRAM) w ...

The Robots for Learning workshop series aims at advancing the research topics related to the use of social robots in educational contexts. This year's half-day workshop follows on previous events in Human-Robot Interaction conferences focusing on efforts t ...

The goal of this work is to enable robots to intelligently and compliantly adapt their motions to the intention of a human during physical Human-Robot Interaction (pHRI) in a multi-task setting. We employ a class of parameterized dynamical systems that all ...

An augmented reality-based wearable system for handheld-free and intuitive robot programming

Chat with Graph Search

Implementation of Dynamic SISD-SIMD Integer Dividers

Principles and Guidelines for Evaluating Social RobotNavigation Algorithms

GRADE: Generating Realistic and Dynamic Environments for robotics research with Isaac Sim

A Minimum-Jerk Approach to Handle Singularities in Virtual Fixtures

Nonlinear Economic State Equilibria via van der Waals Modeling

Action Contextualization: Adaptive Task Planning and Action Tuning Using Large Language Models

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

The neuromechanics of animal locomotion: From biology to robotics and back

An HMM-based Real-time Intervention Methodology for a Social Robot Supporting Learning

Enhancing our understanding of human fine manipulation skills and advancing robot dexterity in grasping

The effect of gamified robot-enhanced training on motor performance in chronic stroke survivors

Design of Hesitation Gestures for Nonverbal Human-Robot Negotiation of Conflicts

Soft Touch using Soft Pneumatic Actuator-Skin as a Wearable Haptic Feedback Device

Guest Editorial: Introduction to the Special Issue on Long-Term Human Motion Prediction

Closed-Loop Position Control of a Self-Sensing 3-DoF Origami Module With Pneumatic Actuators

Redefining Energy Density for an uniaxial Dielectric Elastomer Actuator

Design and development of the efficient anguilliform swimming robot- MAR

Current-Based Data-Retention-Time Characterization of Gain-Cell Embedded DRAMs Across the Design and Variations Space

Robots for Learning - R4L: Adaptive Learning

A Dynamical System Approach to Task-Adaptation in Physical Human-Robot Interaction