Carlos Quintero-Peña

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

High Dimensions

Autonomous Mobile Robot

Robust Optimization

Top Venues

IEEE Robotics Autom. Lett.

Publications

Carlos Quintero-Peña, Wil Thomason, Zachary K. Kingston, Anastasios Kyrillidis, Lydia E. Kavraki
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty. ICRA (2024)
Carlos Quintero-Peña, Wil Thomason, Zachary K. Kingston, Anastasios Kyrillidis, Lydia E. Kavraki
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty. CoRR (2023)
Carlos Quintero-Peña, Peizhu Qian, Nicole M. Fontenot, Hsin-Mei Chen, Shannan K. Hamlin, Lydia E. Kavraki, Vaibhav V. Unhelkar
Robotic Tutors for Nurse Training: Opportunities for HRI Researchers. RO-MAN (2023)
Carlos Quintero-Peña, Zachary K. Kingston, Tianyang Pan, Rahul Shome, Anastasios Kyrillidis, Lydia E. Kavraki
Optimal Grasps and Placements for Task and Motion Planning in Clutter. ICRA (2023)
Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. IEEE Robotics Autom. Lett. 7 (2) (2022)
Carlos Quintero-Peña, Constantinos Chamzas, Zhanyi Sun, Vaibhav V. Unhelkar, Lydia E. Kavraki
Human-Guided Motion Planning in Partially Observable Environments. ICRA (2022)
Carlos Quintero-Peña, Anastasios Kyrillidis, Lydia E. Kavraki
Robust Optimization-based Motion Planning for high-DOF Robots under Sensing Uncertainty. ICRA (2021)
Constantinos Chamzas, Zachary K. Kingston, Carlos Quintero-Peña, Anshumali Shrivastava, Lydia E. Kavraki
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions. ICRA (2021)
Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. CoRR (2021)
Constantinos Chamzas, Zachary K. Kingston, Carlos Quintero-Peña, Anshumali Shrivastava, Lydia E. Kavraki
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions. CoRR (2020)