Multi-robot collaborative manufacturing driven by digital twins: Advancements, challenges, and future directions

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We present a reinforcement learning framework for constructing assemblies composed of rigid parts, which are commonly seen in many historical masonry buildings and bridges. Traditional construction methods for such structures often depend on dense scaffold ...

This research introduces an innovative Augmented Reality (AR) workflow for Human-Robot Interaction (HRI) in timber construction. The approach leverages human dexterity and adaptability alongside the strength and precision of robotic arms to assemble timber ...

Harmful chemical compounds are released daily in warehouses, chemical plants and during environmental emergencies. Their uncontrolled dispersion contributes to the pollution of the atmosphere and threatens human and animal lives. When gas leaks occur, the ...

Social insects, such as ants, termites, and honeybees, have evolved sophisticated societies where the collaborative efforts of "simple" individuals can lead to the emergence of complex dynamics. The reliance of each organism on the collective is so great t ...

Creativity and style in music playing originates from constraints and imperfect interactions between instruments and players. Digital and robotic systems have so far been unable to capture this naturalistic playing. Whether as an additional tool for musici ...

The work presented in this thesis lies at the intersection of Machine Learning (ML) and control theory. The first part is dedicated to the design of Deep Neural Network (DNN) architectures with specific numerical properties, inspired by dynamical systems m ...

Shape-changing robots adapt their own morphology to address a wider range of functions or environments than is possible with a fixed or rigid structure. Akin to biological organisms, the ability to alter shape or configuration emerges from the underlying m ...

In this thesis, we address the complex issue of collision avoidance in the joint space of robots. Avoiding collisions with both the robot's own body parts and obstacles in the environment is a critical constraint in motion planning and is crucial for ensur ...

Understanding how biological matter takes its shape is instrumental to biology, bioengineering, medicine, and bioinspired engineering. Gaining information on the principles of morphogenesis could enable clinicians to correct developmental abnormalities, ev ...

Stories from the future of intelligent machines—from rescue drones to robot spouses—and accounts of cutting-edge research that could make it all possible. Tech prognosticators promised us robots—autonomous humanoids that could carry out any number of tasks ...

Collision resilience is an important feature of robots deployed in unstructured and partially unpredictable environments. Herein, a novel dual stiffness (DS) tensegrity platform to integrate collision resilience into a robot body is proposed. The proposed ...

Trust constitutes a fundamental strategy to deal with risks and uncertainty in complex societies. In line with the vast literature stressing the importance of trust in doctor–patient relationships, trust is therefore regularly suggested as a way of dealing ...

Soon human-robot interactions in pedestrian areas will be beyond the novelty effect with the deployment of delivery robots, autonomous personal mobility vehicles, and surveillance robots. Proxemics and other social rules guide these interactions, nonethele ...

Animals are capable of extreme agility, yet understanding their complex dynamics, which have ecological, biomechanical and evolutionary implications, remains challenging. Being able to study this incredible agility will be critical for the development of n ...

Decentralized deployment of drone swarms usually relies on inter-agent communication or visual markers that are mounted on the vehicles to simplify their mutual detection. This letter proposes a vision-based detection and tracking algorithm that enables gr ...

We are entering the era of robots, for everyone, everywhere. The expectations of the robots being reliable, intelligent and friendly artificial creatures drive the key challenges of the state-of-the-art robotics: technological, practical and social. The la ...

The objective of this study is to integrate biomimetic robots into small groups of zebrafish and to modulate their collective behaviours. A possible approach is to have the robots behave like sheepdogs. In this case, the robots would behave like a differen ...

Stroke is one of the leading causes of long-term disability. Advanced technological solutions ("neurotechnologies'') exploiting robotic systems and electrodes that stimulate the nervous system can increase the efficacy of stroke rehabilitation. Recent stud ...

A design, manufacturing, and control methodology is presented for the transduction of ultrasound into frequency-selective actuation of multibody hydrogel mechanical systems. The modular design of compliant mechanisms is compatible with direct laser writing ...

Multi-robot collaborative manufacturing driven by digital twins: Advancements, challenges, and future directions

Chat with Graph Search

Learning to Assemble with Alternative Plans

Collaborative timber joint assembly: Augmented reality for multi-level human-robot interaction

Gas Sensing with Rotary-Wing Nano Aerial Vehicles

A Biohybrid Superorganism - Investigating honeybees' collective behaviors via interactive robotics

Exploiting passive behaviours for diverse musical playing using the parametric hand

Navigating the Loop: From Control Systems to Neural Networks and Back

Morphological flexibility in robotic systems through physical polygon meshing

Implicit Distance Functions: Learning and Applications in Robotics

Development of a Robotic Microsurgeon for Embryonic Research

Tales from a Robotic World. How Intelligent Machines Will Shape Our Future

Dual Stiffness Tensegrity Platform for Resilient Robotics

Intentional machines: A defence of trust in medical artificial intelligence

Unfreezing Social Navigation: Dynamical Systems based Compliance for Contact Control in Robot Navigation

AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild

Vision-based Drone Flocking in Outdoor Environments

An Institutional Approach to Normative Distributed Robotics for Mixed Societies of Humans and Robots

Strategies to modulate zebrafish collective dynamics with a closed-loop biomimetic robotic system

Advanced Neurotechnologies for the Restoration of Motor Function

Addressable Acoustic Actuation of 3D Printed Soft Robotic Microsystems