← Authors

Roberto Calandra

16 papers · 2017–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (7) πŸƒ Academic Marathon (8) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (22) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🧬 Topic Evolution πŸ‘₯ Mega-Team (23) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (16) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (68)

Conferences

CORL (4) NIPS (4) L4DC (2) RSS (2) AISTATS (1) ECCV (1) ICLR (1) ICML (1)

Top co-authors

Jitendra Malik (4) Sergey Levine (3) Amy Zhang (2) Edward Smith (2) Yi Ma (2) Luis Pineda (2) Huang Huang (2) Mike Lambeta (2) Nathan Lambert (2) Michal Drozdzal (2)

Research topics

Reinforcement Learning (1)

Keywords

tactile sensing (3) model-based reinforcement learning (3) visuotactile sensing (2) multimodal learning (2) data efficiency (2) reinforcement learning (2) deep reinforcement learning (2) knowledge distillation (1) contrastive learning (1) model-based planning (1) hyperparameter optimization (1) self-supervised learning (1) visual perception (1) motor adaptation (1) 3d reconstruction (1) dynamics modeling (1) neural network optimization (1) robotic manipulation (1) robotic grasping (1) embodied ai (1)

Papers

Demonstrating GPU Parallelized Robot Simulation and Rendering for Generalizable Embodied AI with ManiSkill3 RSS 2025
A Touch, Vision, and Language Dataset for Multimodal Alignment ICML 2024
General In-hand Object Rotation with Vision and Touch CORL 2023
Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features RSS 2023
In-Hand Object Rotation via Rapid Motor Adaptation CORL 2022
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning AISTATS 2021
Active 3D Shape Reconstruction from Vision and Touch NIPS 2021
Learning Invariant Representations for Reinforcement Learning without Reconstruction ICLR 2021
Plan2Vec: Unsupervised Representation Learning by Latent Plans L4DC 2020
Adversarial Continual Learning ECCV 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization NIPS 2020
3D Shape Reconstruction from Vision and Touch NIPS 2020
Objective Mismatch in Model-based Reinforcement Learning L4DC 2020
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning CORL 2019
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NIPS 2018
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? CORL 2017