Robots | Publication |
---|---|
Solo | Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control
Wilson Jallet, Ewen Dantec, Etienne Arlaud, Justin Carpentier, Nicolas Mansard RSS, 2024 |
Solo | Proxddp: Proximal constrained trajectory optimization
Wilson Jallet, Antoine Bambade, Etienne Arlaud, Sarah El-Kazdadi, Nicolas Mansard, Justin Carpentier T-RO, 2023 |
UR5 | PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation
Shizhe Chen, Ricardo Garcia, Ivan Laptev, Cordelia Schmid CoRL, 2023 |
Tiago | Object Goal Navigation with Recursive Implicit Maps
Shizhe Chen, Thomas Chabal, Ivan Laptev, Cordelia Schmid IROS, 2023 |
Solo MoCap | Risk-Sensitive Extended Kalman Filter
Armand Jordana, Avadesh Meduri, Etienne Arlaud, Justin Carpentier, Ludovic Righetti hal-04107207, 2023 |
MoCap | Dense Image Registration, Camera Pose and Depth Estimation from Bursts
Bruno Lecouat, Yann Dubois de Mont-Marin, Théo Bodrito, Jean Ponce, Julien Mairal , 2023 |
UR5 | Robust visual sim-to-real transfer for robotic manipulation
Ricardo Garcia, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid IROS, 2023 |
Upkie | PROXQP: an Efficient and Versatile Quadratic Programming Solver for Real-Time Robotics Applications and Beyond
Antoine Bambade, Fabian Schramm, Sarah El Kazdadi, Stéphane Caron, Adrien Taylor, Justin Carpentier RSS, 2022 |
UR5 | Instruction-driven history-aware policies for robotic manipulations
Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid CoRL, 2022 |
UR5 | Assembly Planning from Observations under Physical Constraints
Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid IROS, 2022 |
UR5 | Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic RAL, 2020 |
UR5 | Learning to combine primitive skills: A step towards versatile robotic manipulation
Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid ICRA, 2020 |
UR5 | Learning visual policies for building 3D shape categories
Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid IROS, 2020 |
UR5 | Learning to augment synthetic images for sim2real policy transfer
Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid IROS, 2019 |