Antonio Morales

1.7k total citations · 1 hit paper
58 papers, 1.0k citations indexed

About

Antonio Morales is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Antonio Morales has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Control and Systems Engineering, 35 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Antonio Morales's work include Robot Manipulation and Learning (45 papers), Soft Robotics and Applications (15 papers) and Muscle activation and electromyography studies (12 papers). Antonio Morales is often cited by papers focused on Robot Manipulation and Learning (45 papers), Soft Robotics and Applications (15 papers) and Muscle activation and electromyography studies (12 papers). Antonio Morales collaborates with scholars based in Spain, United States and United Kingdom. Antonio Morales's co-authors include Ángel P. del Pobil, Eris Chinellato, Pedro J. Sanz, Beatriz León, Andrew H. Fagg, Tamim Asfour, Joaquín L. Sancho-Bru, Robert B. Fisher, Jeannette Bohg and Danica Kragić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and IEEE Transactions on Robotics.

In The Last Decade

Antonio Morales

57 papers receiving 971 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.

Deep Learning Approaches to Grasp Synthesis: A Review

2023 114 citations Jeannette Bohg, Antonio Morales et al. profile →

Peers

Antonio Morales

CSE

BE

CVPR

AE

AI

Clemens Eppner Germany

Anis Sahbani France

Renaud Detry Belgium

Aaron Walsman United States

Yasemin Bekiroglu Sweden

Berthold Bäuml Germany

Sven Parusel Germany

Steffen Knoop Germany

Yiannis Karayiannidis Sweden

Christoph Borst Germany

Clemens Eppner Germany

Antonio Morales

715 ×0.9

CSE

397 ×0.8

BE

330 ×1.6

CVPR

161 ×1.0

AE

181 ×1.2

AI

Citations per year, relative to Antonio Morales Antonio Morales (= 1×) peers Clemens Eppner

Countries citing papers authored by Antonio Morales

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Morales

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Morales

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

All Works

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20 of 20 papers shown

1.

Vergara, Margarita, et al.. (2025). Multimodal Deep Learning Model for Cylindrical Grasp Prediction Using Surface Electromyography and Contextual Data During Reaching. Biomimetics. 10(3). 145–145.

2.

Pobil, Ángel P. del, et al.. (2019). Diseño de una nueva pinza robótica de resistencia variable usando dedos de partículas. RUC (Universidade Da Coruña). 671–678. 1 indexed citations

3.

León, Beatriz, et al.. (2017). Characterisation of Grasp Quality Metrics. Journal of Intelligent & Robotic Systems. 89(3-4). 319–342. 23 indexed citations

4.

Pobil, Ángel P. del, A. Duran, Arijit Mallick, et al.. (2017). UJI RobInLab's approach to the Amazon Robotics Challenge 2017. Zenodo (CERN European Organization for Nuclear Research). 318–323. 6 indexed citations

5.

Kappler, Daniel, et al.. (2017). On the relevance of grasp metrics for predicting grasp success. 265–272. 17 indexed citations

6.

Morales, Antonio, et al.. (2016). Comparison between grasp quality metrics and the anthropomorphism index for the evaluation of artificial hands. Zenodo (CERN European Organization for Nuclear Research). 19. 1352–1357. 4 indexed citations

7.

León, Beatriz, et al.. (2014). Grasp quality metrics for robot hands benchmarking. Zenodo (CERN European Organization for Nuclear Research). 761–766. 4 indexed citations

8.

León, Beatriz, et al.. (2014). Characterization of grasp quality measures for evaluating robotic hands prehension. Zenodo (CERN European Organization for Nuclear Research). 2. 3688–3693. 9 indexed citations

9.

Sancho-Bru, Joaquín L., et al.. (2012). Grasp modelling with a biomechanical model of the hand. Computer Methods in Biomechanics & Biomedical Engineering. 17(4). 297–310. 22 indexed citations

10.

Morales, Antonio, et al.. (2012). Manipulation primitives: A paradigm for abstraction and execution of grasping and manipulation tasks. Robotics and Autonomous Systems. 61(3). 283–296. 24 indexed citations

11.

León, Beatriz, Joaquín L. Sancho-Bru, Néstor J. Jarque-Bou, Antonio Morales, & Máximo A. Roa. (2012). Evaluation of Human Prehension Using Grasp Quality Measures. International Journal of Advanced Robotic Systems. 9(4). 24 indexed citations

12.

Bohg, Jeannette, Matthew Johnson‐Roberson, Beatriz León, et al.. (2011). Mind the gap - robotic grasping under incomplete observation. KTH Publication Database DiVA (KTH Royal Institute of Technology). 686–693. 65 indexed citations

13.

Morales, Antonio, et al.. (2010). Embodiment independent manipulation through action abstraction. Zenodo (CERN European Organization for Nuclear Research). 2113–2118. 5 indexed citations

14.

Prats, Mario, et al.. (2010). Visual tracking of a jaw gripper based on articulated 3D models for grasping. Zenodo (CERN European Organization for Nuclear Research). 2302–2307. 4 indexed citations

15.

Morales, Antonio, et al.. (2009). Robust sensor-based grasp primitive for a three-finger robot hand. 1811–1816. 54 indexed citations

16.

Morales, Antonio, Pedro J. Sanz, Ángel P. del Pobil, & Andrew H. Fagg. (2006). Vision-based three-finger grasp synthesis constrained by hand geometry. Robotics and Autonomous Systems. 54(6). 496–512. 58 indexed citations

17.

Morales, Antonio, Eris Chinellato, Andrew H. Fagg, & Ángel P. del Pobil. (2004). Active learning for robot manipulation. European Conference on Artificial Intelligence. 905–909. 5 indexed citations

18.

Morales, Antonio, Eris Chinellato, Andrew H. Fagg, & Ángel P. del Pobil. (2004). Experimental prediction of the performance of grasp tasks from visual features. 3. 3423–3428. 14 indexed citations

19.

Morales, Antonio, Pedro J. Sanz, & Ángel P. del Pobil. (2003). Vision-based computation of three-finger grasps on unknown planar objects. 2. 1711–1716. 34 indexed citations

20.

Surmann, Hartmut & Antonio Morales. (2002). Scheduling Tasks to a Team of Autonomous Mobile Service Robots in Indoor Enviroments.. Zenodo (CERN European Organization for Nuclear Research). 8(3). 808–7. 6 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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