Changing Perspective as A Learning Mechanism

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Pronunciation is a critical yet challenging aspect of language acquisition, especially for children. In this work, we propose a new teachable agent system designed to support children's pronunciation learning through a Learning-by-Teaching paradigm to addr ...

Robots outside of the fenced factories have to deal with continuously changing environment, this requires fast and flexible modes of control. Planning methods or complex learning models can find optimal paths in complex surroundings, but they are computati ...

Modular robotics link the reliability of a centralised system with the adaptivity of a decentralised system. It is difficult for a robot with a fixed shape to be able to perform many different types of tasks. As the task space grows, the number of functi ...

This paper builds up the skill of impact aware non prehensile manipulation through a hitting motion by allowing the robot arm to come in contact with the environment with parts other than its end effector. Hitting with other joints allows us to manipulate ...

Planning multicontact motions in a receding horizon fashion requires a value function to guide the planning with respect to the future, e.g., building momentum to traverse large obstacles. Traditionally, the value function is approximated by computing traj ...

The rise of robotic body augmentation brings forth new developments that will transform robotics, human-machine interaction, and wearable electronics. Extra robotic limbs, although building upon restorative technologies, bring their own set of challenges i ...

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 ...

Biohybrid systems in which robotic lures interact with animals have become compelling tools for probing and identifying the mechanisms underlying collective animal behavior. One key challenge lies in the transfer of social interaction models from simulatio ...

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 ...

In various robotics applications, the selection of function approximation methods greatly influences the feasibility and computational efficiency of algorithms. Tensor Networks (TNs), also referred to as tensor decomposition techniques, present a versatile ...

Given the patchy nature of gas plumes and the slow response of conventional gas sensors, the use of mobile robots for Gas Source Localization (GSL) tasks presents significant challenges. These aspects increase the difficulties in obtaining gas measurements ...

Social insects, such as ants, termites, and honeybees, have evolved sophisticated societies where collaboration and division of labor enhance survival of the whole colony, and are thus considered “superorganisms”. Historically, studying behaviors involving ...

This article summarizes the recent advancements in the design, fabrication, and control of microrobotic devices for the diagnosis and treatment of brain disorders. With a focus on diverse actuation methods, we discuss how advancements in materials science ...

This doctoral thesis navigates the complex landscape of motion coordination and formation control within teams of rotary-wing Micro Aerial Vehicles (MAVs). Prompted by the intricate demands of real-world applications such as search and rescue or surveillan ...

Robotics is entering our daily lives. The discipline is increasingly crucial in fields such as agriculture, medicine, and rescue operations, impacting our food, health, and planet. At the same time, it is becoming evident that robotic research must embrace ...

Digital nations are embedded in a globally connected civilization largely supported by centralized technology mostly designed with an exported ideology. Our aim is to transform education to enable the conditions for regional innovation and sustainability. ...

Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...

Robust in-hand manipulation of objects with movable content requires estimation and prediction of the contents' motion with enough anticipation to allow time to compensate for resulting internal torques. The quick estimation of the objects' dynamics can be ...

We present a measurement of the integrated luminosity of e(+) e(-) collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of E-cm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 t ...

Gender inequality is a widespread problem in our society. It can manifest itself in many ways and contexts, and starting as early as primary school. While an increasing number of initiatives aim at tackling gender biases and inequalities, few of them are a ...

Changing Perspective as A Learning Mechanism

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Learning by Teaching: Designing Teachable Agents to Support Children's Pronunciation Skill Learning

Exact Obstacle Avoidance for Robots in Complex and Dynamic Environments Using Local Modulation

Memento Mori: Reliable robustness in self-reconfigurable modular robots

Hitting with Different Joints of a Robotic Manipulator

Online Multicontact Receding Horizon Planning via Value Function Approximation

Investigating neural resource allocation in the sensorimotor control of extra limbs

Gas Sensing with Rotary-Wing Nano Aerial Vehicles

Quantifying the biomimicry gap in biohybrid robot-fish pairs

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

Robot Learning using Tensor Networks

Sense in Motion with Belief Clustering: Efficient Gas Source Localization with Mobile Robots

Biohybrid Superorganisms—On the Design of a Robotic System for Thermal Interactions With Honeybee Colonies

Small-scale robotic devices for medical interventions in the brain

Distributed Predictive Formation Control of Autonomous Rotary-Wing Micro Aerial Vehicles

Soft Robotics: A Route to Equality, Diversity, and Inclusivity in Robotics

TEACHING TECHNOLOGY AND POLITICS: FROM A LESS DESIRABLE TO A PREFERRED DIGITAL NATION

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

A Predictive Model for Tactile Force Estimation Using Audio-Tactile Data

Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

Participatory design of a social robot and robot-mediated storytelling activity to raise awareness of gender inequality among children