Lael U. Odhner

1.8k total citations · 1 hit paper
32 papers, 1.3k citations indexed

About

Lael U. Odhner is a scholar working on Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Lael U. Odhner has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 16 papers in Control and Systems Engineering and 7 papers in Cognitive Neuroscience. Recurrent topics in Lael U. Odhner's work include Robot Manipulation and Learning (13 papers), Soft Robotics and Applications (12 papers) and Robotic Mechanisms and Dynamics (10 papers). Lael U. Odhner is often cited by papers focused on Robot Manipulation and Learning (13 papers), Soft Robotics and Applications (12 papers) and Robotic Mechanisms and Dynamics (10 papers). Lael U. Odhner collaborates with scholars based in United States, Japan and United Kingdom. Lael U. Odhner's co-authors include Aaron M. Dollar, R. Raymond, Robert Kohout, Yaroslav Tenzer, M. Buehler, Leif P. Jentoft, Robert D. Howe, H. Harry Asada, Jun Ueda and Diego Sustaita and has published in prestigious journals such as IEEE Access, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Lael U. Odhner

31 papers receiving 1.3k citations

Hit Papers

A compliant, underactuated hand for robust manipulation 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lael U. Odhner United States 13 964 935 385 131 74 32 1.3k
Guoliang Zhong China 18 633 0.7× 544 0.6× 307 0.8× 50 0.4× 104 1.4× 48 1.0k
Lina Hao China 22 833 0.9× 670 0.7× 323 0.8× 36 0.3× 101 1.4× 145 1.4k
Manolo Garabini Italy 26 1.4k 1.5× 1.1k 1.1× 441 1.1× 121 0.9× 146 2.0× 97 1.9k
Oliver Eiberger Germany 15 1.6k 1.7× 1.1k 1.2× 470 1.2× 112 0.9× 152 2.1× 22 2.1k
R. Raymond United States 14 1.2k 1.2× 1.2k 1.2× 470 1.2× 189 1.4× 73 1.0× 16 1.4k
John Wood United States 18 658 0.7× 689 0.7× 272 0.7× 145 1.1× 150 2.0× 57 1.3k
Naoyuki Takesue Japan 17 427 0.4× 375 0.4× 392 1.0× 171 1.3× 56 0.8× 122 989
Aiguo Ming Japan 21 1.2k 1.2× 1.0k 1.1× 349 0.9× 265 2.0× 242 3.3× 182 1.7k
Jinoh Lee Italy 24 852 0.9× 1.7k 1.9× 631 1.6× 45 0.3× 148 2.0× 90 2.3k
David Howard Australia 16 788 0.8× 337 0.4× 424 1.1× 153 1.2× 143 1.9× 90 1.4k

Countries citing papers authored by Lael U. Odhner

Since Specialization
Citations

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

Fields of papers citing papers by Lael U. Odhner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lael U. Odhner. 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 Lael U. Odhner. The network helps show where Lael U. Odhner may publish in the future.

Co-authorship network of co-authors of Lael U. Odhner

This figure shows the co-authorship network connecting the top 25 collaborators of Lael U. Odhner. A scholar is included among the top collaborators of Lael U. Odhner 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 Lael U. Odhner. Lael U. Odhner 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.
Rojas, Nicolás, et al.. (2017). Adaptive Legged Robots Through Exactly Constrained and Non-Redundant Design. IEEE Access. 5. 11131–11141. 8 indexed citations
2.
Odhner, Lael U. & Aaron M. Dollar. (2015). Stable, open-loop precision manipulation with underactuated hands. The International Journal of Robotics Research. 34(11). 1347–1360. 65 indexed citations
3.
Odhner, Lael U., R. Raymond, & Aaron M. Dollar. (2014). Exploring Dexterous Manipulation Workspaces with the iHY Hand. Journal of the Robotics Society of Japan. 32(4). 318–322. 7 indexed citations
4.
Odhner, Lael U., et al.. (2014). The design of exactly constrained walking robots. 2983–2989. 4 indexed citations
5.
Odhner, Lael U., Leif P. Jentoft, Yaroslav Tenzer, et al.. (2014). A compliant, underactuated hand for robust manipulation. The International Journal of Robotics Research. 33(5). 736–752. 454 indexed citations breakdown →
6.
Odhner, Lael U., et al.. (2014). Design of hands for aerial manipulation: Actuator number and routing for grasping and perching. 34–40. 40 indexed citations
7.
Odhner, Lael U., et al.. (2013). Open-Loop Precision Grasping With Underactuated Hands Inspired by a Human Manipulation Strategy. IEEE Transactions on Automation Science and Engineering. 10(3). 625–633. 79 indexed citations
8.
Raymond, R., Lael U. Odhner, & Aaron M. Dollar. (2012). Dexterous manipulation with underactuated fingers: Flip-and-pinch task. 3551–3552. 10 indexed citations
9.
Odhner, Lael U., R. Raymond, & Aaron M. Dollar. (2012). Precision grasping and manipulation of small objects from flat surfaces using underactuated fingers. 2830–2835. 50 indexed citations
10.
Odhner, Lael U., Chad Walker, & Aaron M. Dollar. (2012). Simplifying robot hands using recursively scaled power grasps. 20. 2909–2914. 4 indexed citations
11.
Odhner, Lael U. & Aaron M. Dollar. (2012). The Smooth Curvature Model: An Efficient Representation of Euler–Bernoulli Flexures as Robot Joints. IEEE Transactions on Robotics. 28(4). 761–772. 64 indexed citations
13.
Odhner, Lael U. & H. Harry Asada. (2010). Stochastic Recruitment Control of Large Ensemble Systems With Limited Feedback. Journal of Dynamic Systems Measurement and Control. 132(4). 11 indexed citations
14.
Odhner, Lael U. & H. Harry Asada. (2008). Equilibrium point control of artificial muscles using recruitment of many motor units. 370. 121–126. 2 indexed citations
15.
Odhner, Lael U. & H. Harry Asada. (2008). Stochastic recruitment: Controlling state distribution among swarms of hybrid agents. 28. 4226–4231. 1 indexed citations
16.
Ueda, Jun, et al.. (2007). Broadcast Feedback of Large-Scale, Distributed Stochastic Control Systems Inspired by Biological Muscle Control. Proceedings of the ... American Control Conference. 6168. 1317–1322. 5 indexed citations
17.
Ueda, Jun, Lael U. Odhner, & H. Harry Asada. (2007). Broadcast Feedback of Stochastic Cellular Actuators Inspired by Biological Muscle Control. The International Journal of Robotics Research. 26(11-12). 1251–1265. 51 indexed citations
18.
Ueda, Jun, Lael U. Odhner, Sang‐Gook Kim, & H. Harry Asada. (2006). Distributed Stochastic Control of MEMS-PZT Cellular Actuators with Broadcast Feedback. 272–277. 17 indexed citations
19.
Odhner, Lael U., Jun Ueda, & H. Harry Asada. (2006). A Cellular Control Architecture for Compliant Artificial Muscles. PubMed. 2006. 2730–2733. 1 indexed citations
20.
Odhner, Lael U. & H. Harry Asada. (2006). Sensorless temperature estimation and control of shape memory alloy actuators using thermoelectric devices. IEEE/ASME Transactions on Mechatronics. 11(2). 139–144. 12 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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