Roberto Calandra
16 papers · 2017–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Mega-Team Β· Squad
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Keyword Collector
(78)
Top co-authors
Research topics
Keywords
multimodal learning
(3)
tactile sensing
(3)
reinforcement learning
(3)
model-based reinforcement learning
(3)
visuotactile sensing
(2)
data efficiency
(2)
deep reinforcement learning
(2)
3d reconstruction
(1)
motor adaptation
(1)
representation learning
(1)
robotic manipulation
(1)
domain adaptation
(1)
visual perception
(1)
hyperparameter optimization
(1)
sample efficiency
(1)
transformer architecture
(1)
embodied ai
(1)
knowledge distillation
(1)
neural network optimization
(1)
self-supervised learning
(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
Active 3D Shape Reconstruction from Vision and Touch
NeurIPS 2021
Learning Invariant Representations for Reinforcement Learning without Reconstruction
ICLR 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
AISTATS 2021
3D Shape Reconstruction from Vision and Touch
NeurIPS 2020
Adversarial Continual Learning
ECCV 2020
Objective Mismatch in Model-based Reinforcement Learning
L4DC 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans
L4DC 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
NeurIPS 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
NeurIPS 2018
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
CoRL 2017