Publication

Bimanual Compliant Tactile Exploration for Grasping Unknown Objects

Publications associées (36)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Assessing Interaction Dynamics in the Context of Robot Programming by Demonstration

Aude Billard, Brenna Dee Argall

In this paper we focus on human-robot interaction particularities that occur during programming by demonstration. Understanding what makes the interaction rewarding and keeps the user engaged helps optimize the robot's learning. Two user studies are presen ...

Springer Netherlands2013

A Control and Optimization Framework for Robot Locomotion

Soha Pouya

Despite great efforts in designing legged robots, we are still far from the adaptivity, efficiency and robustness with which animals can move. Observations from successful biomimetic designs highlight the significant role of clever morphological design in ...

EPFL2013

Learning a Real Time Grasping Strategy

Aude Billard, Sahar El Khoury, Miao Li

Real time planning strategy is crucial for robots working in dynamic environments. In particular, robot grasping tasks require quick reactions in many applications such as human-robot interaction. In this paper, we propose an approach for grasp learning th ...

2013

A Dynamical System-based Approach to Modeling Stable Robot Control Policies via Imitation Learning

Despite tremendous advances in robotics, we are still amazed by the proficiency with which humans perform movements. Even new waves of robotic systems still rely heavily on hardcoded motions with a limited ability to react autonomously and robustly to a dy ...

EPFL2012

Miniature Mobile Systems for Inspection of Ferromagnetic Structures

Patrick Schoeneich

Power plants require periodical inspections to control their state. To ensure a safe operation, parts that could fail before the next inspection are repaired or replaced, since a forced outage due to a failure can cost up to millions of dollars per day. No ...

EPFL2012

Enabling Large-Scale Collective Systems in Outdoor Aerial Robotics

Severin Leven

For many real-life applications such as monitoring, mapping, search-and-rescue or ad-hoc communication networks, fleets of flying robots are expected to out-perform existing solutions. Robots can join forces to cover larger areas in less time, act as effic ...

EPFL2011

Enabling Collective Operation of Indoor Flying Robots

James Roberts

Collective flying robots show great potential in many diverse indoor applications. Their added robustness, parallel operation and redundancy has clear advantages over a single flying robot. However, flying within cluttered and unprepared indoor environment ...

EPFL2011

Software integration in mobile robotics, a science to scale up machine intelligence

Stéphane Magnenat

The present work tackles integration in mobile robotics. Integration is often considered to be a mere technique, unworthy of scientific investigation. On the contrary, we show that integrating capabilities in a mobile robot entails new questions that the p ...

EPFL2010

The Hand-bot, a Robot Design for Simultaneous Climbing and Manipulation

Francesco Mondada, Michael Bonani, Stéphane Magnenat, Philippe Rétornaz

We present a novel approach to mobile object manipulation for service in indoor environments. Current research in service robotics focus on single robots able to move, manipulate objects, and transport them to various locations. Our approach differs by tak ...

Springer-Verlag2009

Distributed Scalable Multi-Robot Learning using Particle Swarm Optimization

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using online learning techniques which allow robots to generate their own controllers online in an automated fash- ion. In multi- ...

2009