Publications associées à Design of a Biomimetic Upper Body for the Humanoid Robot Robota

Online Multicontact Receding Horizon Planning via Value Function Approximation

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 ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Implicit Distance Functions: Learning and Applications in Robotics

Mikhail Koptev

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 ...

EPFL2023

Self-Correcting Quadratic Programming-Based Robot Control

Aude Billard, Farshad Khadivar, Konstantinos Chatzilygeroudis

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 ...

2023

Accessible Soft Robotics Education with Re-configurable Balloon Robots

Josephine Anna Eleanor Hughes, Kieran Daniel Gilday, Yi-Shiun Wu

Soft robotics requires effective tools to educate the next generation of engineers and researchers. Stemming from a lack of universally accepted principles for education and with high barriers to entry in terms of fabrication and hardware, education to dat ...

IEEE2023

Learning to Guide Online Multi-Contact Receding Horizon Planning

Sylvain Calinon, Teguh Santoso Lembono

In Receding Horizon Planning (RHP), it is critical that the motion being executed facilitates the completion of the task, e.g. building momentum to overcome large obstacles. This requires a value function to inform the desirability of robot states. However ...

IEEE2022

Advancing coordination control of multi-limb robotic tasks: application to bimanual dynamic manipulation and bipedal reactive locomotion

Michael Bosongo Bombile

Bi-manual picking up of objects to toss them on a conveyor belt are dynamic manipulation activities generated daily in the industry. Such repetitive and physically demanding tasks are still done largely by humans for lack of similarly fast, precise, and ro ...

EPFL2022

Questioning Wizard of Oz: Effects of Revealing the Wizard behind the Robot

Pierre Dillenbourg, Pierre Pravin Oppliger, Barbara Bruno, Jauwairia Nasir

Wizard of Oz, a very commonly employed technique in human-robot interaction, faces the criticism of being deceptive as the humans interacting with the robot are told, if at all, only at the end of their interaction that there was in fact a human behind the ...

IEEE2022

Active origami platforms for human-robot interactions

Frédéric Henri Vaskin Giraud

Robots are employed to assist humans in lengthy, challenging, and repetitive tasks. However, the fields of rehabilitation, haptics, and assistive robotics have shown a significant need to support and interact with people in their everyday life. To facilita ...

EPFL2022

Real-Time Self-Collision Avoidance in Joint Space for Humanoid Robots

Aude Billard, Nadia Barbara Figueroa Fernandez, Mikhail Koptev

In this letter, we propose a real-time self-collision avoidance approach for whole-body humanoid robot control. To achieve this, we learn the feasible regions of control in the humanoid's joint space as smooth self-collision boundary functions. Collision-f ...

2021

Learning from demonstration using products of experts: Applications to manipulation and task prioritization

Sylvain Calinon, Emmanuel Pignat

Probability distributions are key components of many learning from demonstration (LfD) approaches, with the spaces chosen to represent tasks playing a central role. Although the robot configuration is defined by its joint angles, end-effector poses are oft ...

2021