DeepIG: Multi-Robot Information Gathering With Deep Reinforcement Learning. - Alberto Viseras Ruiz; Ricardo Garcia 001 (IEEE Robotics Autom. Lett., 2019)

Learning Obstacle Representations for Neural Motion Planning. - Robin Strudel; Ricardo Garcia 001; Justin Carpentier; Jean-Paul Laumond; Ivan Laptev; Cordelia Schmid (CoRL, 2020)

Segmenter: Transformer for Semantic Segmentation. - Robin Strudel; Ricardo Garcia 001; Ivan Laptev; Cordelia Schmid (ICCV, 2021)

Instruction-driven history-aware policies for robotic manipulations. - Pierre-Louis Guhur; Shizhe Chen; Ricardo Garcia 001; Makarand Tapaswi; Ivan Laptev; Cordelia Schmid (CoRL, 2022)

PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. - Shizhe Chen; Ricardo Garcia 001; Cordelia Schmid; Ivan Laptev (CoRL, 2023)

Robust Visual Sim-to-Real Transfer for Robotic Manipulation. - Ricardo Garcia 001; Robin Strudel; Shizhe Chen; Etienne Arlaud; Ivan Laptev; Cordelia Schmid (IROS, 2023)

SUGAR : Pre-training 3D Visual Representations for Robotics. - Shizhe Chen; Ricardo Garcia 001; Ivan Laptev; Cordelia Schmid (CVPR, 2024)

Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy. - Ricardo Garcia 001; Shizhe Chen; Cordelia Schmid (CoRR, 2024)

Gondola: Grounded Vision Language Planning for Generalizable Robotic Manipulation. - Shizhe Chen; Ricardo Garcia 001; Paul Pacaud; Cordelia Schmid (CoRR, 2025)