Week
Thu. 24
Fri. 25
List
Thu. 24
Fri. 25
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
Welcome coffee
9:45 - 10:15 (30min)
Welcome coffee
Introduction - Liviu Nicu (Director of LAAS)
10:15 - 10:30 (15min)
Introduction - Liviu Nicu (Director of LAAS)
Presentation of Willow
10:30 - 11:15 (45min)
Presentation of Willow
Ivan Laptev
Presentation of PRAIRIE
11:15 - 12:00 (45min)
Presentation of PRAIRIE
Jean Ponce
Robotics at INRIA Grenoble
12:00 - 12:30 (30min)
Robotics at INRIA Grenoble
Cordelia Schmid
Presentation of ANITI
12:30 - 13:00 (30min)
Presentation of ANITI
Nicholas Asher
Lunch
13:00 - 14:00 (1h)
Lunch
Robotics at LAAS and in Gepetto
14:00 - 14:20 (20min)
Robotics at LAAS and in Gepetto
Philippe Souères
Model-based motion learning, H2020 Memmo Project
14:20 - 14:45 (25min)
Model-based motion learning, H2020 Memmo Project
Nicolas Mansard
Human-Robot Joint Action
14:45 - 15:10 (25min)
Human-Robot Joint Action
Rachid Alami
Computer vision for robotics in industrial contexts
15:10 - 15:30 (20min)
Computer vision for robotics in industrial contexts
Patrick Danès
HRI plateform
15:30 - 16:00 (30min)
HRI plateform
Demonstration with the collaborative robotics plateform
Humanoid robotics plateform
16:00 - 16:40 (40min)
Humanoid robotics plateform
Demonstration with the robots Pyrene, Tiago, HRP-2, Solo, inside the humanoid and legged robotics plateform
Break (in the robotic lab)
16:40 - 17:00 (20min)
Break (in the robotic lab)
Rob4Fam: an example of industrial cooperation in robotics
17:00 - 17:20 (20min)
Rob4Fam: an example of industrial cooperation in robotics
Olivier Stasse and/or Sébastien Boria
What are the remaining hard problems in robotics (debate)
17:20 - 18:00 (40min)
What are the remaining hard problems in robotics (debate)
Justin Carpentier and Nicolas Mansard
Tutorial "how to control your robot"
8:45 - 9:15 (30min)
Tutorial "how to control your robot"
Olivier Stasse
*** Robotics manipulation
Modelling the manipulation problem
Path planning with cable-driven parallel robots
Sampling and learning on high-dimensional manifolds: applications to robot motion planning and beyond
Planning legged locomotion: a cardinality minimization problem
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
Pitches
9:15 - 10:45 (1h30)
*** Robotics manipulation
(session)
9:15 - 9:30 (15min)
Modelling the manipulation problem
Joseph Mirabel
9:30 - 9:45 (15min)
Path planning with cable-driven parallel robots
Diane Bury
9:45 - 10:00 (15min)
Sampling and learning on high-dimensional manifolds: applications to robot motion planning and beyond
Juan Cortès
10:00 - 10:15 (15min)
Planning legged locomotion: a cardinality minimization problem
Steve Tonneau
10:15 - 10:30 (15min)
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
Yann Labbé
10:30 - 10:45 (15min)
Pitches
Alexis Nicolin, Noelie Ramuzat
Break
10:45 - 11:15 (30min)
Break
*** Simulation to reality: hardware and perception
The Open Dynamic Robot Initiative project, an open-source quadruped robot
stabilization of a biped robot
Invited speech
Invited talk
Flying with physical interactions
Learning joint reconstruction of hands and manipulated objects
Pitches
11:15 - 13:00 (1h45)
*** Simulation to reality: hardware and perception
(session)
11:15 - 11:30 (15min)
The Open Dynamic Robot Initiative project, an open-source quadruped robot
Thomas Flayols
11:30 - 11:45 (15min)
stabilization of a biped robot
Gabriele Buondonno
11:45 - 12:00 (15min)
Invited speech
Tomi Silander (Naver Labs)
12:00 - 12:15 (15min)
Invited talk
Jordi Pagès (PAL Robotics)
12:15 - 12:30 (15min)
Flying with physical interactions
Marco Tognon
12:30 - 12:45 (15min)
Learning joint reconstruction of hands and manipulated objects
Ivan Laptev
12:45 - 13:00 (15min)
Pitches
Pierre-Alexandre Leziart, Thibaut Lasguignes, Kevin Giraud-Esclasse, Fanny Risbourg
Lunch
13:00 - 14:00 (1h)
Lunch
*** Optimization and reinforcement learning in robotics
Producing dynamic motions for the biped robot.
Machine Learning for Optimal Control
Learning (error) models for robotics perception processes
Rigorous performance guarantees for optimization algorithms
Pitches
14:00 - 15:15 (1h15)
*** Optimization and reinforcement learning in robotics
(session)
14:00 - 14:15 (15min)
Producing dynamic motions for the biped robot.
Rohan Budhiraja
14:15 - 14:30 (15min)
Machine Learning for Optimal Control
Aamr El Khazadadi
14:30 - 14:45 (15min)
Learning (error) models for robotics perception processes
Simon Lacroix
14:45 - 15:00 (15min)
Rigorous performance guarantees for optimization algorithms
Adrien Taylor
15:00 - 15:15 (15min)
Pitches
Ewen Dantec, Jason Chemin, Amit Parag, David Bertoin, Valentin Guillet
*** Software
Humanoid Path Planner (HPP): a software platform for locomotion and manipulation planning
Managing collaborative software development in robotics
Pinocchio
Overview of the scikit-learn project
15:15 - 16:15 (1h)
*** Software
(session)
15:15 - 15:30 (15min)
Humanoid Path Planner (HPP): a software platform for locomotion and manipulation planning
Florent Lamiraux
15:30 - 15:45 (15min)
Managing collaborative software development in robotics
Guilhem Saurel
15:45 - 16:00 (15min)
Pinocchio
Justin Carpentier
16:00 - 16:15 (15min)
Overview of the scikit-learn project
Loïc Estève
Break
16:15 - 16:30 (15min)
Break
*** Human model, tracking and understanding the natural movement
Synthesizing natural movement with optimization
Estimating 3D Motion and Forces of Person-ObjectInteractions from Monocular Video
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Pitches
16:30 - 17:30 (1h)
*** Human model, tracking and understanding the natural movement
(session)
16:30 - 16:45 (15min)
Synthesizing natural movement with optimization
Melya Boukheddimi
16:45 - 17:00 (15min)
Estimating 3D Motion and Forces of Person-ObjectInteractions from Monocular Video
Zongmian Li
17:00 - 17:15 (15min)
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Oumayma Bounou
17:15 - 17:30 (15min)
Pitches
Isabelle Maroger, Pierre-Louis Guhur