Justin Carpentier
17 papers · 2017–2024 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Keywords
pose estimation
(4)
quadratic programming
(4)
trajectory optimization
(3)
augmented lagrangian
(3)
optimal control
(2)
render and compare
(2)
6d pose estimation
(2)
rigid body dynamics
(2)
neural network
(2)
convex optimization
(2)
forward dynamics
(2)
numerical optimization
(1)
obstacle representation
(1)
constrained optimization
(1)
model predictive control
(1)
object detection
(1)
neural motion planning
(1)
representation learning
(1)
value function
(1)
online learning
(1)
Papers
CACTO-SL: Using Sobolev learning to improve continuous actor-critic with trajectory optimization
L4DC 2024
From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach
RSS 2024
Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
ICLR 2024
Linear-time Differential Inverse Kinematics: an Augmented Lagrangian Perspective
RSS 2024
Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control
RSS 2024
Collision Detection Accelerated: An Optimization Perspective
RSS 2022
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
CoRL 2022
PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond
RSS 2022
Differentiable rendering with perturbed optimizers
NeurIPS 2021
Online Learning and Control of Complex Dynamical Systems from Sensory Input
NeurIPS 2021
Proximal and Sparse Resolution of Constrained Dynamic Equations
RSS 2021
Single-View Robot Pose and Joint Angle Estimation via Render & Compare
CVPR 2021
CosyPose: Consistent multi-view multi-object 6D pose estimation
ECCV 2020
Learning Obstacle Representations for Neural Motion Planning
CoRL 2020
Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video
CVPR 2019
Analytical Derivatives of Rigid Body Dynamics Algorithms
RSS 2018
Learning Feasibility Constraints for Multicontact Locomotion of Legged Robots
RSS 2017