Roberto Calandra

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

Achievements

+11 more ↓

🌍 Conference Polyglot (8) 🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)

🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🧬 Topic Evolution 👥 Mega-Team (23) 🔥 Unstoppable (9) ⚡ Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (16) ❓ The Questioner 🗃️ 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