Danny Driess

2.0k total citations · 1 hit paper
20 papers, 370 citations indexed

About

Danny Driess is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Danny Driess has authored 20 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Danny Driess's work include Robot Manipulation and Learning (12 papers), Robotic Path Planning Algorithms (8 papers) and Reinforcement Learning in Robotics (4 papers). Danny Driess is often cited by papers focused on Robot Manipulation and Learning (12 papers), Robotic Path Planning Algorithms (8 papers) and Reinforcement Learning in Robotics (4 papers). Danny Driess collaborates with scholars based in Germany, United States and Canada. Danny Driess's co-authors include Marc Toussaint, Jung-Su Ha, Ozgur S. Oguz, Andreas Orthey, Péter Englert, Syn Schmitt, Daniel F. B. Haeufle, Daniel Hennes, Brian Ichter and Russ Tedrake and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.

In The Last Decade

Danny Driess

19 papers receiving 362 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Foundation models in robotics: Applications, challenges, and the future

2024 73 citations Roya Firoozi, Stephen Tian et al. The International Journal of Robotics Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danny Driess Germany	12	178	147	99	74	58	20	370
Jeong-Jung Kim South Korea	9	116 0.7×	121 0.8×	67 0.7×	112 1.5×	28 0.5×	36	331
Huazhe Xu China	11	141 0.8×	162 1.1×	74 0.7×	75 1.0×	52 0.9×	29	400
Barry Ridge Slovenia	8	172 1.0×	89 0.6×	94 0.9×	55 0.7×	25 0.4×	23	314
Daoxiong Gong China	9	130 0.7×	100 0.7×	82 0.8×	128 1.7×	25 0.4×	47	347
Diego Romeres United States	11	224 1.3×	46 0.3×	81 0.8×	60 0.8×	44 0.8×	47	345
Rika Antonova United States	9	119 0.7×	110 0.7×	121 1.2×	43 0.6×	18 0.3×	14	297
Jianlan Luo United States	9	293 1.6×	69 0.5×	141 1.4×	161 2.2×	31 0.5×	14	432
Jacky Liang United States	7	258 1.4×	174 1.2×	192 1.9×	98 1.3×	36 0.6×	12	516
Huasong Min China	9	114 0.6×	88 0.6×	54 0.5×	72 1.0×	35 0.6×	53	272
Robert Krug Sweden	10	238 1.3×	115 0.8×	60 0.6×	113 1.5×	26 0.4×	28	389

Countries citing papers authored by Danny Driess

Since Specialization

Citations

This map shows the geographic impact of Danny Driess'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 Danny Driess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Driess more than expected).

Fields of papers citing papers by Danny Driess

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny Driess. 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 Danny Driess. The network helps show where Danny Driess may publish in the future.

Co-authorship network of co-authors of Danny Driess

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Driess. A scholar is included among the top collaborators of Danny Driess 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 Danny Driess. Danny Driess is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pertsch, Karl, Brian Ichter, Danny Driess, et al.. (2025). FAST: Efficient Action Tokenization for Vision-Language-Action Models. 6 indexed citations

Nasiriany, Soroush, Sean Kirmani, Tianli Ding, et al.. (2025). RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation. 8249–8257.

Firoozi, Roya, Stephen Tian, Anirudha Majumdar, et al.. (2024). Foundation models in robotics: Applications, challenges, and the future. The International Journal of Robotics Research. 44(5). 701–739. 73 indexed citations breakdown →

Joshi, Nikhil, Ayzaan Wahid, Danny Driess, et al.. (2024). Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. 11 indexed citations

Ha, Jung-Su, et al.. (2023). Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning. 1 indexed citations

Driess, Danny, et al.. (2022). FC³: Feasibility-Based Control Chain Coordination. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 13769–13776. 3 indexed citations

Ha, Jung-Su, Danny Driess, & Marc Toussaint. (2022). Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input. IEEE Robotics and Automation Letters. 7(4). 10857–10864. 4 indexed citations

Orthey, Andreas, et al.. (2022). Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly. IEEE Transactions on Robotics. 39(1). 239–252. 58 indexed citations

Toussaint, Marc, et al.. (2022). Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 13753–13760. 14 indexed citations

10.

Driess, Danny, Jung-Su Ha, & Marc Toussaint. (2021). Learning to solve sequential physical reasoning problems from a scene image. The International Journal of Robotics Research. 40(12-14). 1435–1466. 9 indexed citations

11.

Driess, Danny, Jung-Su Ha, Russ Tedrake, & Marc Toussaint. (2021). Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input. 14298–14305. 19 indexed citations

12.

Driess, Danny, et al.. (2020). Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics. Frontiers in Computational Neuroscience. 14. 38–38. 14 indexed citations

13.

Oguz, Ozgur S., et al.. (2020). Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning. arXiv (Cornell University). 6886–6893. 19 indexed citations

14.

Haeufle, Daniel F. B., et al.. (2020). Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking. Frontiers in Robotics and AI. 7. 77–77. 16 indexed citations

15.

Driess, Danny, Ozgur S. Oguz, Jung-Su Ha, & Marc Toussaint. (2020). Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning. 29 indexed citations

16.

Toussaint, Marc, Jung-Su Ha, & Danny Driess. (2020). Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning. IEEE Robotics and Automation Letters. 5(4). 6209–6216. 28 indexed citations

17.

Driess, Danny, Daniel Hennes, & Marc Toussaint. (2019). Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy. 7844–7850. 17 indexed citations

18.

Driess, Danny, Syn Schmitt, & Marc Toussaint. (2019). Active Inverse Model Learning with Error and Reachable Set Estimates. 1826–1833. 3 indexed citations

19.

Driess, Danny, et al.. (2018). Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties. 6461–6468. 12 indexed citations

20.

Driess, Danny, Péter Englert, & Marc Toussaint. (2017). Active learning with query paths for tactile object shape exploration. 34 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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