Roberto Martín-Martín
37 papers · 2016–2025 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (55) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🌱
Topic Pioneer
🔬
Deep Specialist
(14)
👥
Mega-Team · Legion
🤝
Dynamic Duo
(15)
🧬
Topic Evolution
🏆
Keyword Champion
(3)
🧭
Keyword Pioneer
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
🗃️
Keyword Collector
(181)
💎
Century Club · Bronze
🚀
Conference Pioneer
📈
Trend Setter
Top co-authors
Research topics
Artificial Intelligence
(24)
Core AI
(18)
Reinforcement Learning
(17)
Machine Learning
(16)
Applications
(14)
Learning Paradigms
(11)
Methods
(11)
Deep Learning
(10)
Learning Types · Machine Learning
(10)
Robotics
(9)
Capabilities
(9)
Computer Vision
(6)
Learning Types · Deep Learning
(5)
Architectures
(4)
Analysis
(3)
Keywords
imitation learning
(7)
robot manipulation
(4)
mobile manipulation
(4)
robot learning
(4)
unsupervised skill discovery
(3)
policy learning
(3)
hierarchical reinforcement learning
(3)
embodied ai
(3)
human demonstration
(2)
representation learning
(2)
long-horizon planning
(2)
policy training
(2)
zero-shot classification
(2)
3d understanding
(2)
downstream task
(2)
point cloud
(2)
video prediction
(2)
skill discovery
(2)
vision-language model
(2)
mobile manipulator
(2)
Papers
CASPER: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
CoRL 2025
COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning
CoRL 2025
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
AAAI 2025
RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies
CoRL 2025
Robots Learning Through Physical Interactive Intelligence
AAAI 2025
SafeMimic: Towards Safe and Autonomous Human-to-Robot Imitation for Mobile Manipulation
RSS 2025
SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL
CoRL 2025
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation
CVPR 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
NeurIPS 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
Learning to Look: Seeking Information for Decision Making via Policy Factorization
CoRL 2024
Natural Language Can Help Bridge the Sim2Real Gap
RSS 2024
ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection
RSS 2024
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
NeurIPS 2024
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
CVPR 2024
Causal Policy Gradient for Whole-Body Mobile Manipulation
RSS 2023
ELDEN: Exploration via Local Dependencies
NeurIPS 2023
MaskViT: Masked Visual Pre-Training for Video Prediction
ICLR 2023
MUTEX: Learning Unified Policies from Multimodal Task Specifications
CoRL 2023
Procedure-Aware Pretraining for Instructional Video Understanding
CVPR 2023
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
CVPR 2023
A Dual Representation Framework for Robot Learning with Human Guidance
CoRL 2022
BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation
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
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
CVPR 2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
CoRL 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
CoRL 2021
GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations
RSS 2020
Leveraging Pretrained Image Classifiers for Language-Based Segmentation
WACV 2020
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
CoRL 2019
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
CVPR 2019
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
CoRL 2019
Regression Planning Networks
NeurIPS 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
NeurIPS 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