| 2024 | IROS | Expansion-GRR: Efficient Generation of Smooth Global Redundancy Resolution Roadmaps. | Zhuoyun Zhong, Zhi Li, Constantinos Chamzas |
| 2022 | ICRA | Learning to Retrieve Relevant Experiences for Motion Planning. | Constantinos Chamzas, Aedan Cullen, Anshumali Shrivastava, Lydia E. Kavraki |
| 2022 | ICRA | Human-Guided Motion Planning in Partially Observable Environments. | Carlos Quintero-Pea, Constantinos Chamzas, Zhanyi Sun, Vaibhav V. Unhelkar, Lydia E. Kavraki |
| 2022 | IROS | Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning. | Constantinos Chamzas, Martina Lippi, Michael C. Welle, Anastasia Varava, Lydia E. Kavraki, Danica Kragic |
| 2021 | ICRA | Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions. | Constantinos Chamzas, Zachary Kingston, Carlos Quintero-Pea, Anshumali Shrivastava, Lydia E. Kavraki |
| 2021 | IROS | Using Experience to Improve Constrained Planning on Foliations for Multi-Modal Problems. | Zachary Kingston, Constantinos Chamzas, Lydia E. Kavraki |
| 2021 | IROS | HyperPlan: A Framework for Motion Planning Algorithm Selection and Parameter Optimization. | Mark Moll, Constantinos Chamzas, Zachary Kingston, Lydia E. Kavraki |
| 2019 | ICRA | Using Local Experiences for Global Motion Planning. | Constantinos Chamzas, Anshumali Shrivastava, Lydia E. Kavraki |