Publications associées à Behavior-based robotics

VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior

Sylvain Calinon, Julius Maximilian Jankowski

Achieving reactive robot behavior in complex dynamic environments is still challenging as it relies on being able to solve trajectory optimization problems quickly enough, such that we can replan the future motion at frequencies which are sufficiently high ...

IEEE2023

Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive

Auke Ijspeert, Guillaume Denis Antoine Bellegarda, Milad Shafiee Ashtiani

Quadruped animal locomotion emerges from the interactions between the spinal central pattern generator (CPG), sensory feedback, and supraspinal drive signals from the brain. Computational models of CPGs have been widely used for investigating the spinal co ...

New York2023

A biohybrid interaction framework for the integration of robots in animal societies

Francesco Mondada, Daniel Burnier, Vaios Papaspyros, Raphael Cherfan

The collective behavior of animals has been traditionally studied through observation, quantitative models of behavior, and devices of low intelligence. Nowadays, the advancements in the field of robotics allow for closed-loop experiments that occur in rea ...

2023

Automatic Multi-Robot Control Design and Optimization Leveraging Multi-Level Modeling: An Exploration Case Study

Alcherio Martinoli, Cyrill Silvan Baumann, Wakana Endo

More specifically, a behavior-based controller for a multi-robot exploration scenario is automatically synthesized using a predefined set of basic behaviors and conditions. A key feature of the used synthesis approach is the tailored use of two modeling le ...

Elsevier2023

Combining robotics with enhanced serotonin-driven cortical plasticity improves post-stroke motor recovery

Silvestro Micera, Stefano Lai, Maria Pasquini, Sara Conti, Marco Mainardi

Despite recent progresses in robotic rehabilitation technologies, their efficacy for post-stroke motor recovery is still limited. Such limitations might stem from the insufficient enhancement of plasticity mechanisms, crucial for functional recovery. Here, ...

PERGAMON-ELSEVIER SCIENCE LTD2021

What if Social Robots look for Productive Engagement?

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir

In educational HRI, it is generally believed that a robots behavior has a direct effect on the engagement of a user with the robot, the task at hand and also their partner in case of a collaborative activity. Increasing this engagement is then held respons ...

2021

A Social Robot That Looks For Productive Engagement

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir

2021

Children, Robots, and Virtual Agents: Present and Future Challenges

Shruti Chandra, Elmira Yadollahi

Research on child-agent interaction is rapidly expanding. It is, therefore, necessary to converge our collective efforts to broaden our understanding and perspectives of how virtual agents, affect and potentially improve the well-being of children. "Childr ...

ASSOC COMPUTING MACHINERY2021

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Behavior-based robotics

VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior

Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive

A biohybrid interaction framework for the integration of robots in animal societies

Automatic Multi-Robot Control Design and Optimization Leveraging Multi-Level Modeling: An Exploration Case Study

Memory of Motion for Initializing Optimization in Robotics

Coordination and control of a group of ground robots

Combining robotics with enhanced serotonin-driven cortical plasticity improves post-stroke motor recovery

What if Social Robots look for Productive Engagement?

A Social Robot That Looks For Productive Engagement

Children, Robots, and Virtual Agents: Present and Future Challenges

Graph Chatbot

Chattez avec Graph Search

A biohybrid interaction framework for the integration of robots in animal societies

Automatic Multi-Robot Control Design and Optimization Leveraging Multi-Level Modeling: An Exploration Case Study

Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive

Memory of Motion for Initializing Optimization in Robotics

A Social Robot That Looks For Productive Engagement

Combining robotics with enhanced serotonin-driven cortical plasticity improves post-stroke motor recovery

What if Social Robots look for Productive Engagement?

VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior

Coordination and control of a group of ground robots

Children, Robots, and Virtual Agents: Present and Future Challenges