Roberto Calandra

3.3k total citations
36 papers, 1.4k citations indexed

About

Roberto Calandra is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Roberto Calandra has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 14 papers in Artificial Intelligence and 13 papers in Biomedical Engineering. Recurrent topics in Roberto Calandra's work include Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (9 papers) and Tactile and Sensory Interactions (9 papers). Roberto Calandra is often cited by papers focused on Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (9 papers) and Tactile and Sensory Interactions (9 papers). Roberto Calandra collaborates with scholars based in United States, Germany and United Kingdom. Roberto Calandra's co-authors include Jan Peters, Marc Peter Deisenroth, Sergey Levine, André Seyfarth, Justin Lin, Dinesh Jayaraman, Wenzhen Yuan, Edward H. Adelson, Andrew Owens and Jitendra Malik and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Roberto Calandra

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roberto Calandra United States 21 624 539 402 376 205 36 1.4k
Freek Stulp Germany 25 1.2k 1.9× 650 1.2× 233 0.6× 564 1.5× 337 1.6× 102 1.9k
Heni Ben Amor United States 23 865 1.4× 335 0.6× 183 0.5× 506 1.3× 424 2.1× 83 1.6k
Petar Kormushev Italy 19 1.0k 1.6× 697 1.3× 130 0.3× 547 1.5× 282 1.4× 98 1.8k
Matthias Plappert Germany 5 582 0.9× 289 0.5× 110 0.3× 453 1.2× 234 1.1× 5 1.0k
Eric Rohmer Brazil 12 568 0.9× 562 1.0× 141 0.4× 248 0.7× 437 2.1× 55 1.4k
Oliver Kroemer United States 25 1.5k 2.4× 883 1.6× 516 1.3× 828 2.2× 483 2.4× 81 2.3k
Arthur J Petron United States 3 527 0.8× 337 0.6× 97 0.2× 402 1.1× 190 0.9× 3 971
Szymon Sidor 4 532 0.9× 270 0.5× 98 0.2× 438 1.2× 194 0.9× 4 942
Bowen Baker United States 5 539 0.9× 276 0.5× 99 0.2× 588 1.6× 335 1.6× 6 1.2k
Huapeng Wu Finland 20 483 0.8× 294 0.5× 136 0.3× 477 1.3× 160 0.8× 162 1.5k

Countries citing papers authored by Roberto Calandra

Since Specialization
Citations

This map shows the geographic impact of Roberto Calandra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roberto Calandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Calandra more than expected).

Fields of papers citing papers by Roberto Calandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Calandra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roberto Calandra. The network helps show where Roberto Calandra may publish in the future.

Co-authorship network of co-authors of Roberto Calandra

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Calandra. A scholar is included among the top collaborators of Roberto Calandra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roberto Calandra. Roberto Calandra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Chalvatzaki, Georgia, et al.. (2024). Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation. IEEE Transactions on Robotics. 40. 3812–3832. 22 indexed citations
3.
Wu, Tingfan, Stefanie Speidel, Richard E. Fan, et al.. (2024). Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors. IEEE Transactions on Robotics. 41. 62–81. 8 indexed citations
4.
Ahmed, Reza, Roberto Calandra, & Hamidreza Marvi. (2023). Learning to Control a Three-Dimensional Ferrofluidic Robot. Soft Robotics. 11(2). 218–229. 4 indexed citations
5.
Calandra, Roberto, et al.. (2023). Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice. 182–187. 2 indexed citations
6.
Kerr, Justin, Huang Huang, Ryan Hoque, et al.. (2023). Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features. 15 indexed citations
7.
Xu, Huazhe, Yuping Luo, Shaoxiong Wang, Trevor Darrell, & Roberto Calandra. (2022). Towards Learning to Play Piano with Dexterous Hands and Touch. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10410–10416. 20 indexed citations
8.
Chou, Po-Wei, et al.. (2022). TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors. IEEE Robotics and Automation Letters. 7(2). 3930–3937. 93 indexed citations
9.
Zhang, Baohe, Luis A. Pineda, Nathan Lambert, et al.. (2021). On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. International Conference on Artificial Intelligence and Statistics. 4015–4023. 3 indexed citations
10.
Calandra, Roberto, et al.. (2021). Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. IEEE Robotics and Automation Letters. 6(2). 2682–2689. 22 indexed citations
11.
Smith, Edward J., Roberto Calandra, Adriana Romero, et al.. (2020). 3D Shape Reconstruction from Vision and Touch. CaltechAUTHORS (California Institute of Technology). 33. 14193–14206. 1 indexed citations
12.
Letham, Benjamin, Roberto Calandra, Akshara Rai, & Eytan Bakshy. (2020). Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. arXiv (Cornell University). 33. 1546–1558. 2 indexed citations
13.
Lambert, Nathan, et al.. (2020). Objective Mismatch in Model-based Reinforcement Learning. 761–770. 3 indexed citations
14.
Lin, Justin, Roberto Calandra, & Sergey Levine. (2019). Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. 3644–3650. 40 indexed citations
15.
Calandra, Roberto, et al.. (2018). Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering. IEEE Transactions on Biomedical Engineering. 66(3). 727–739. 28 indexed citations
16.
Calandra, Roberto, Andrew Owens, Wenzhen Yuan, et al.. (2017). The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?. 314–323. 36 indexed citations
17.
Calandra, Roberto, Jan Peters, Carl Edward Rasmussen, & Marc Peter Deisenroth. (2016). Manifold Gaussian Processes for regression. Spiral (Imperial College London). 3338–3345. 100 indexed citations
19.
Calandra, Roberto, et al.. (2013). An Experimental Evaluation of Bayesian Optimization on Bipedal Locomotion. Spiral (Imperial College London). 2 indexed citations
20.
Calandra, Roberto, et al.. (2012). ICANN Artificial Neural Networks and Machine Learning - ICANN 2012. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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