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Foothold selection for hexapod robots in complex terrain presents a significant challenge, demanding both high computational efficiency and robust adaptability. To address this issue, this paper introduces a foothold sel...

Accurate velocity estimation plays a key role in ensuring precise motion control and safe navigation of ground robots. Ground-view event cameras provide a reliable sensing modality for this task. They exploit the static ...

Locomotion in animals such as fish, snakes, inchworms, and octopuses exhibits a remarkable diversity, with each species utilizing distinct body morphologies and movement strategies. Currently, no existing kinematic model...

This paper proposes a multimodal perception-fusion-based control method for flexible exoskeleton robots to address challenges in human–robot collaboration and interaction accuracy. First, after analyzing the human–ro...

Wheel-legged robots offer high mobility on flat terrain and adaptability in complex environments, yet achieving stable motion under uncertain ground conditions and during height variations poses significant control chall...

Abstract Individual differences play a fundamental role in shaping people’s attitudes towards robots. Among them, culture is one of the most deeply ingrained in individuals throughout their growth. Thus, given the cruc...

Introduction. Reliable and accurate state estimation plays a central role in mobile robotics, ensuring effective localization, navigation, and control in uncertain and dynamic environments. Traditional estimation methods...

In the automation of life science experiments, verifying and recording the types, positions, and states of labware are essential for quality assurance and traceability of experimental results. To achieve this, researcher...

Abstract In response to the dual challenges of complex static obstacles and frequent dynamic disturbances in the construction site environment, this paper proposes a hybrid path planning strategy that integrates global s...

Autonomous microrobotic navigation in life sciences is highly challenging due to environmental disturbances, unpredictable phenomena, diverse obstacles, and dynamic changes. These significantly limit motion of microrobot...

Fault Detection and Diagnosis (FDD) is crucial for ensuring safe, reliable, and energy-efficient operation of collaborative robots, especially with the growth of Industry 4.0. Industrial robots are nonlinear, complex, an...

Abstract In order to improve the operation efficiency and impact resistance of the robotic arm in unstructured environments such as orchards, this paper proposes an online trajectory planning method for multi-index compr...

Net One of the biggest challenges in industrial robotics working in dynamic environments is reliably recognizing voice commands for human-robot interaction. This article presents a Hybrid Hidden Markov Model, Convolution...

IntroductionWhile shared activities foster connection between people living with dementia (PLWD) and their care partners, emotional distress and daily caregiving responsibilities often make them difficult to initiate. Th...

ABSTRACT To enable autonomous operations in complex industrial environments, this paper proposes retrieval‐augmented generation with large language models for robotic operations (RAGLRO), a robotic framework specifical...

Robotics has evolved a lot since its origin. The design of these robots is done based on various aspects, and one such aspect is bioinspired robots, which lies one of the most challenging fields were a robot is developed...

Soft robotics is a rapidly evolving field that leverages compliant and deformable materials to create robotic systems capable of safe human interaction, environmental adaptability, and bio-inspired motion. Unlike rigid r...

The recent trends in the field of Robotics have evolved a lot irrespective of its application across any field. That too when wall climbing robots are considered, many researchers have come up with many innovative design...

Embodied therapies such as movement therapy have shown promise in enhancing emotional regulation, cognitive engagement, and physical rehabilitation. However, scalable and personalized delivery of such interventions remai...

Traditional electromechanical cleaning equipment remains overly dependent on human assistance when performing cleaning tasks in unstructured marine environments. With the rapid development of robotic technologies, underw...

Abstract BackgroundThe integration of robots into industrial settings has rapidly advanced, aiming to reduce human involvement in demanding tasks while improving overall efficiency. As collaborative robots (c...

Robots that are flexible, reconfigurable and universally adaptable and capable of performing various tasks in constrained and dynamic workspaces are in high demand. In this research general forward kinematic model has be...

Modern edge–cloud deployments integrate devices, edge servers, private networks, and cloud platforms into heterogeneous, multi-layer systems. Each layer exposes distinct metrics, measurement granularities, and tim...

To address the challenges of hardware integration and system complexity in laboratory automation, this work introduces a universal platform built on two key innovations. First, a standardized instruction framework unifie...