Robotics and Neuroscience

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Animals possess a remarkable ability to navigate challenging terrains, achieved through the interplay of various pathways between the brain, central pattern generators (CPGs) in the spinal cord, and musculoskeletal system. Traditional bioinspired control f ...

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 ...

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 ...

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 ...

Soft robots are being increasingly developed and deployed for underwater applications such as exploration, monitoring, and rescue owing to their innate compliance, mechanical and chemical stability, and waterproof properties. However, they are still predom ...

BackgroundImpaired cerebrospinal fluid (CSF) dynamics is involved in the pathophysiology of neurodegenerative diseases of the central nervous system and the optic nerve (ON), including Alzheimer's and Parkinson's disease, as well as frontotemporal dementia ...

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 ...

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 ...

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 ...

Glaucoma is one of the leading causes of irreversible blindness worldwide. Glaucoma is defined clinically as the presence of optic nerve head (ONH) degeneration and progressive loss of retinal ganglion cells (RGCs). Intra-ocular pressure (IOP) has been con ...

During reaching actions, the human central nerve system (CNS) generates the trajectories that optimize effort and time. When there is an obstacle in the path, we make sure that our arm passes the obstacle with a sufficient margin. This comfort margin varie ...

Information theory has allowed us to determine the fundamental limit of various communication and algorithmic problems, e.g., the channel coding problem, the compression problem, and the hypothesis testing problem. In this work, we revisit the assumptions ...

The thesis at hand is concerned with robots' navigation in human crowds. Specifically, methods are developed for planning a mobile robot's local motion between pedestrians, and they are evaluated in experiments where a robot interacts with real pedestrians ...

Quadratic Programming (QP)-based controllers allow many robotic systems, such as humanoids, to successfully undertake complex motions and interactions. However, these approaches rely heavily on adequately capturing the underlying model of the environment a ...

There is a growing trend towards designing learning activities featuring robots as collaborative exercises where children work together to achieve the activity objectives, generating interactions that can trigger learning processes. Witnessing such activit ...

Robotics and Neuroscience

Chat with Graph Search

Learning-based Hierarchical Control: Emulating the Central Nervous System for Bio-Inspired Legged Robot Locomotion

Small-scale robotic devices for medical interventions in the brain

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

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

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

Edible Soft Actuators based on Konjac Glucomannan for Underwater Operation

Large-scale in-silico analysis of CSF dynamics within the subarachnoid space of the optic nerve

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

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

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

Neuroprotection in the Retina: From Preventing Inflammatory Cell Death to Promoting Vascular Stability in the Central Nervous System

Inferring individual evaluation criteria for reaching trajectories with obstacle avoidance from EEG signals

On Speed and Advantage : Results in Information Velocity and Monitoring Problems

Geometric and Learning Methods for Robots to Navigate in Human Crowds with Application to Smart Mobility Devices

Self-Correcting Quadratic Programming-Based Robot Control

Computational Models of Mutual Understanding for Human-Robot Collaborative Learning