Joaquim Ortiz de Haro

Orcid: 0000-0002-6599-7302

According to our database1, Joaquim Ortiz de Haro authored at least 15 papers between 2021 and 2024.

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Bibliography

2024
iDb-RRT: Sampling-based Kinodynamic Motion Planning with Motion Primitives and Trajectory Optimization.
CoRR, 2024

2023
iDb-A*: Iterative Search and Optimization for Optimal Kinodynamic Motion Planning.
CoRR, 2023

Kinodynamic Motion Planning for a Team of Multirotors Transporting a Cable-Suspended Payload in Cluttered Environments.
CoRR, 2023

db-CBS: Discontinuity-Bounded Conflict-Based Search for Multi-Robot Kinodynamic Motion Planning.
CoRR, 2023

Neural Field Representations of Articulated Objects for Robotic Manipulation Planning.
CoRR, 2023

Comparison of Optimization-Based Methods for Energy-Optimal Quadrotor Motion Planning.
CoRR, 2023

Efficient Path Planning In Manipulation Planning Problems by Actively Reusing Validation Effort.
IROS, 2023

Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
A Conflict-Driven Interface Between Symbolic Planning and Nonlinear Constraint Solving.
IEEE Robotics Autom. Lett., 2022

BITKOMO: Combining Sampling and Optimization for Fast Convergence in Optimal Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

db-A*: Discontinuity-bounded Search for Kinodynamic Mobile Robot Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Conflict-Directed Diverse Planning for Logic-Geometric Programming.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Structured deep generative models for sampling on constraint manifolds in sequential manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021


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