Roberto Martín-Martín

37 papers · 2016–2025 · 8 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (9) 🐝 Cross-Pollinator (14) 🗺️ Taxonomy Completionist (57) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (8) 🤝 Dynamic Duo (15) 🏆 Keyword Champion (2) 👥 Mega-Team (98) 🌱 Topic Pioneer 🔬 Deep Specialist (12) 🧬 Topic Evolution 🗃️ Keyword Collector (158) ⚡ Prolific Year (5) 🔥 Unstoppable (7) 🚀 Conference Pioneer 💎 Century Club (37)

Conferences

CORL (14) RSS (7) CVPR (6) NIPS (5) AAAI (2) ICLR (1) IJCAI (1) WACV (1)

Top co-authors

Silvio Savarese (15) Li Fei-fei (11) Jiajun Wu (9) Jiaheng Hu (8) Peter Stone (7) Yuke Zhu (6) Chengshu Li (5) Fei Xia (4) Chen Wang (4) Ajay Mandlekar (4)

Research topics

Robotics (1) Capabilities (1)

Keywords

imitation learning (7) mobile manipulation (4) robot learning (4) robot manipulation (4) hierarchical reinforcement learning (3) embodied ai (3) policy learning (3) unsupervised skill discovery (2) representation learning (2) human demonstration (2) long-horizon planning (2) downstream task (2) zero-shot classification (2) mobile manipulator (2) skill discovery (2) point cloud (2) 3d understanding (2) robotic navigation (1) sim-to-real transfer (1) reinforcement learning (1)

Papers

SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL CORL 2025

CASPER: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models CORL 2025

Robots Learning Through Physical Interactive Intelligence AAAI 2025

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes AAAI 2025

COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning CORL 2025

SafeMimic: Towards Safe and Autonomous Human-to-Robot Imitation for Mobile Manipulation RSS 2025

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies CORL 2025

ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection RSS 2024

Learning to Look: Seeking Information for Decision Making via Policy Factorization CORL 2024

Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NIPS 2024

SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NIPS 2024

Natural Language Can Help Bridge the Sim2Real Gap RSS 2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024

ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding CVPR 2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation CVPR 2024

MaskViT: Masked Visual Pre-Training for Video Prediction ICLR 2023

ELDEN: Exploration via Local Dependencies NIPS 2023

MUTEX: Learning Unified Policies from Multimodal Task Specifications CORL 2023

ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding CVPR 2023

Procedure-Aware Pretraining for Instructional Video Understanding CVPR 2023

Causal Policy Gradient for Whole-Body Mobile Manipulation RSS 2023

BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation CORL 2022

A Dual Representation Framework for Robot Learning with Human Guidance CORL 2022

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments CORL 2021

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation CORL 2021

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation CORL 2021

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks CORL 2021

Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction CVPR 2021

Leveraging Pretrained Image Classifiers for Language-Based Segmentation WACV 2020

GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations RSS 2020

AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers CORL 2019

HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators CORL 2019

Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks NIPS 2019

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion CVPR 2019

Regression Planning Networks NIPS 2019

Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems IJCAI 2017

Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems RSS 2016