10 Years of Human-NAO Interaction Research: A Scoping Review

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The ability to make compliant physical interactions enables robots to robustly contact with the environment. This plays a significant role in advancing robotic hands which must constantly interact with the world, often with large uncertainties and variatio ...

Calibration between robots and cameras is critical in automated robot vision systems. However, conventional manually conducted image-based calibration techniques are often limited by their accuracy sensitivity and poor adaptability to dynamic or unstructur ...

Animals exhibit remarkable locomotion skills despite significant sensorimotor delays and operating in uncertain environments. Moreover, mammals acquire these skills within minutes of birth. From the Cambrian explosion to the present day, vertebrate motor c ...

In digital timber construction, scanning technologies and point cloud data are widely used due to the accessibility of affordable 3D sensors, photogrammetry, and userfriendly CAD tools. While typically not employed for accuracy checks in timber fabrication ...

Goal: The experimental study of the stumble phenomena is essential to develop novel technological solutions to limit harmful effects in at-risk populations. A versatile platform to deliver realistic and unanticipated tripping perturbations, controllable in ...

Please note that this dataset corresponds to the training data used in "Social robots as skilled ignorant peers for supporting learning "[7]. This (second) version of the dataset additionally includes labels (PE score and cluster labels for each datapoint) ...

In spatial timber assemblies, a multitude of factors can lead to errors that hinder the implementation of complete automation including but not limited to inaccuracies of the robotic setup, deformations of the structures during assembly, or the natural dim ...

Recent research suggests that autistic females may have superior socio-cognitive abilities compared to autistic males, potentially contributing to underdiagnosis in females. However, it remains unclear whether these differences arise from distinct neurophy ...

The robotic manipulation of deformable linear objects is a frontier problem with many potential applications in diverse industries. However, most existing research in this area focuses on shape control for a provided explicit goal and does not consider phy ...

The exploration of the lunar poles and the collection of samples from the martian surface are characterized by shorter time windows demanding increased autonomy and speeds. Autonomous mobile robots must intrinsically cope with a wider range of disturbances ...

Robot motor skills can be acquired by deep reinforcement learning as neural networks to reflect state-action mapping. The selection of states has been demonstrated to be crucial for successful robot motor learning. However, because of the complexity of neu ...

Human-machine interfaces (HMIs) can be used to decode a user's motor intention to control an external device. People that suffer from motor disabilities, such as spinal cord injury, can benefit from the uses of these interfaces. While many solutions can be ...

We have all been one such student or seen such students who can maintain the 'good student' image while playing a video game under the table or those loyal backbenchers, seemingly always distracted, who then ace their exams. These intricacies of human beha ...

State-dependent dynamical systems (DSs) offer adaptivity, reactivity, and robustness to perturbations in motion planning and physical human-robot interaction tasks. Learning DS-based motion plans from non-linear reference trajectories is an active research ...

Wizard of Oz, a very commonly employed technique in human-robot interaction, faces the criticism of being deceptive as the humans interacting with the robot are told, if at all, only at the end of their interaction that there was in fact a human behind the ...

This article proposes an enhanced adaptive time delay controller (ATDC) for robot manipulators subjected to external disturbances. This approach is model-free and uses time delay estimation (TDE) to estimate complex and unknown robot dynamics. First, to re ...

Modular robots hold promise of adaptability, robustness, and versatility. Synchronization of modules is critical; if a module is asynchronous, not only will the robot fail to perform tasks properly, but its behavior may be self-destructive through self-col ...

Recent advances in Model Predictive Control (MPC) algorithms and methodologies, combined with the surge of computational power of available embedded platforms, allows the use of real-time optimization-based control of fast mechatronic systems. This paper p ...

This research investigates the robotic assembly of timber structures connected by wood–wood connections. As the digitization of the timber construction sector progresses, digital tools, such as industrial robotic arms and Computer Numerical Control machine ...

Flight in dense environments, such as forests and cities requires drones to perform sharp turns. Although fixed-wing drones are aerodynamically and energetically more efficient than multicopters, they require a comparatively larger area to turn and thus ar ...

10 Years of Human-NAO Interaction Research: A Scoping Review

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Experimental assessment, design, and control of compliance in dexterous robotic hands

A data-efficient and general-purpose hand–eye calibration method for robotic systems using next best view

A Bio-Inspired Learning and Control Framework for Cross-Embodiment and Cross-Task Locomotion

DiffCheck: A scan-CAD evaluation tool for digital manufacturing and assembly processes in timber construction

Design and Validation of a Tripping-Eliciting Platform Based on Compliant Random Obstacles

PE-HRI-temporal: A Multimodal Temporal Dataset in a robot mediated Collaborative Educational Setting

Assembly of Spaceframes in Hybrid Teams: Adaptive Digital Fabrication Workflows for Human-Robot Collaboration

Sex modulation of faces prediction error in the autistic brain

Rearranging Deformable Linear Objects for Implicit Goals with Self-Supervised Planning and Control

Enabling Faster Locomotion of Planetary Rovers With a Mechanically-Hybrid Suspension

Identifying important sensory feedback for learning locomotion skills

Human-machine interface for two-dimensional steering control with the auricular muscles

Introducing Productive Engagement for Social Robots Supporting Learning

Locally active globally stable dynamical systems: Theory, learning, and experiments

Questioning Wizard of Oz: Effects of Revealing the Wizard behind the Robot

An Enhanced Adaptive Time Delay Control-Based Integral Sliding Mode for Trajectory Tracking of Robot Manipulators

Hybrid Wireless-Local Communication via Information Propagation for Modular Robotic Synchronization Applications

Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype

Design considerations for robotically assembled through-tenon timber joints

Sharp turning maneuvers with avian-inspired wing and tail morphing