Publications

Google Scholar Citations Link: https://scholar.google.com/citations?user=AAakVn4AAAAJ&hl=en

Published Peer-reviewed Journal Articles

  1. [price_mee_2025] A Framework for Fast, Large-scale, Semi-Automatic Inference of Animal Behavior from Monocular Videos, Eric Price, Pranav Khandelwal, Daniel Rubenstein and Aamir Ahmad Methods in Ecology and Evolution, Wiley, 16, 1966–1982; July 2025.
    (Available Online: https://doi.org/10.1111/2041-210X.70124)

  2. [bonetto_ijrr_2025] GRADE: Generating Realistic and Dynamic Environments for Robotics Research with Isaac Sim, Elia Bonetto, Chenghao Xu and Aamir Ahmad, The International Journal of Robotics Research (IJRR); 0(0), April 2025.
    (Available Online: https://doi.org/10.1177/02783649251346211)

  3. [goldschmid_auro_2024] Reinforcement Learning based Autonomous Multi-rotor Landing on Moving Platforms, Pascal Goldschmid and Aamir Ahmad, Autonomous Robot, Springer 48, 13 (2024), June 2024.
    (Available Online: https://doi.org/10.1007/s10514-024-10162-8)

  4. [price_ral_2023] [Award Paper] Viewpoint-driven Formation Control of Airships for Cooperative Target Tracking, Eric Price, Michael J. Black and Aamir Ahmad, IEEE Robotics and Automation Letters (IEEE-RAL), 8(6):3653-3660, June 2023.
    (Available Online: https://doi.org/10.1109/LRA.2023.3264727)
    → Best Faculty Paper Award 2023, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart
    → Paper also presented at IEEE/RSJ IROS 2023

  5. [saini_ral_2023] SmartMocap: Joint Estimation of Human and Camera Motion Using Uncalibrated RGB Cameras, Nitin Saini, Chun-Hao P. Huang, Michael J. Black and Aamir Ahmad, IEEE Robotics and Automation Letters (IEEE-RAL), 8(6):3206-3213, , June 2023.
    (Available Online: https://doi.org/10.1109/LRA.2023.3264743)
    → Paper also presented at IEEE/RSJ IROS 2023

  6. [notter_jgcd_2023] Deep Reinforcement Learning Approach for Integrated Updraft Mapping and Exploitation Stefan Notter, Christian Gall, Greg Müller, Aamir Ahmad and Walter Fichter (2023), Journal of Guidance, Control, and Dynamics (JGCD), vol. 46, no. 10, pp. 1997-2004, 2023.
    (Available Online: https://doi.org/10.2514/1.G007572)

  7. [saini_ral_2022] AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation, Nitin Saini, Elia Bonetto, Eric Price, Aamir Ahmad and Michael J. Black, IEEE Robotics and Automation Letters (IEEE-RAL), 7(2):4805 - 4812, IEEE, April 2022.
    (Available Online: http://dx.doi.org/10.1109/LRA.2022.3145494)
    → Paper also presented at IEEE ICRA 2022

  8. [bonetto_ras_2022] iRotate: Active visual SLAM for omnidirectional robots, Elia Bonetto, Pascal Goldschmid, Michael Pabst, Michael J. Black, and Aamir Ahmad, Robotics and Autonomous Systems (RAS), Elsevier, Volume 154, 104102, ISSN 0921-8890, 2022.
    (Available Online: https://doi.org/10.1016/j.robot.2022.104102)

  9. [tallamraju_ral_2020] AirCapRL: Autonomous Aerial Human Motion Capture Using Deep Reinforcement Learning, Rahul Tallamraju, Nitin Saini, Elia Bonetto, Michael Pabst, Michael J. Black and Aamir Ahmad, IEEE Robotics and Automation Letters (IEEE-RAL), 5(4):6678 - 6685, IEEE, October 2020
    (Available Online: http://dx.doi.org/10.1109/LRA.2020.3013906)

  10. [tallamraju_ral_2019] Active Perception based Formation Control for Multiple Aerial Vehicles. Rahul Tallamraju, Eric Price, Roman Ludwig, Kamalakar Karlapalem, Heinrich H. Buelthoff, Michael J. Black and Aamir Ahmad, IEEE Robotics and Automation Letters (IEEE-RAL), 4(4):4491-4498, October 2019.
    (Available Online: https://doi.org/10.1109/LRA.2019.2932570)

  11. [price_ral_2018] Deep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles. Eric Price, Guilherme Lawless, Roman Ludwig, Igor Martinovic, Heinrich H. Buelthoff, Michael J. Black and Aamir Ahmad, IEEE Robotics and Automation Letters (IEEE-RAL), 3(4):3193-3200, June 2018.
    (Available Online: https://doi.org/10.1109/LRA.2018.2850224)
    → Paper also presented at IEEE/RSJ IROS 2018

  12. [ahmad_tro_2017] An Online Scalable Approach to Unified Multirobot Cooperative Localization and Object Tracking. Aamir Ahmad, Guilherme Lawless and Pedro Lima, IEEE Transactions on Robotics (T-RO), 33(5):1184-1199, 2017.
    (Available Online: https://doi.org/10.1109/TRO.2017.2715342)
    Also accepted for Journal Track at the 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia.

  13. [ahmad_ras_2016] Moving-horizon nonlinear least squares-based multirobot cooperative perception. Aamir Ahmad, Heinrich H. Bülthoff, Robotics and Autonomous Systems (RAS) Journal, Elsevier, Vol 83, pp. 275 - 286. September 2016.
    (Available Online: http://dx.doi.org/10.1016/j.robot.2016.06.002)

  14. [lima_ras_2015] Formation Control Driven by Cooperative Object Tracking. Pedro Lima, Aamir Ahmad, André Dias, A. G. S. Conceição, António Paulo Moreira, Eduardo Silva, Luís Almeida , Luís Oliveira, Tiago P. Nascimento, Robotics and Autonomous Systems (RAS) Journal, Elsevier, Vol 63 Issue 1, pp. 68–79. 2015.
    (Available Online: http://dx.doi.org/10.1016/j.robot.2014.08.018)

  15. [ahmad_cviu_2014] 3D to 2D Bijection for Spherical Objects Under Equidistant Fisheye Projection, Aamir Ahmad, João Xavier, José Santos-Victor, Pedro Lima, Journal of Computer Vision and Image Understanding (CVIU), Elsevier Vol. 125 pp. 72–183. 2014.
    (Available Online: http://dx.doi.org/10.1016/j.cviu.2014.04.004)

  16. [ahmad_ras_2013] Multi-Robot Cooperative Spherical-Object Tracking in 3D Space Based on Particle Filters, Aamir Ahmad and Pedro Lima, Robotics and Autonomous Systems (RAS) Journal, Elsevier, Vol. 61, Issue 10, pp. 1084-1093, 2013.
    (Available Online: http://dx.doi.org/10.1016/j.robot.2012.12.008)

Published Peer-reviewed Conference Papers

  1. [bonetto_wacv_2025] ZebraPose: Zebra Detection and Pose Estimation using only Synthetic Data, Elia Bonetto and Aamir Ahmad, Winter Conference on Applications of Computer Vision 2026 (WACV 2026), March 2026 (Acceptance Notification Received).
    (Preprint Available: https://doi.org/10.48550/arXiv.2408.10831).

  2. [goldschmid_ecmr_2025] [Award Paper] A Multi-Simulation Approach with Model Predictive Control for Anafi Drones, Pascal Goldschmid and Aamir Ahmad, IEEE European Conference on Mobile Robots (ECMR 2025), September 2025.
    (Preprint Available: https://arxiv.org/abs/2502.10218).
    → Among the top-3 Best Paper Finalists.

  3. [liu_iros_2025] Multitask Reinforcement Learning for Quadcopter Attitude Stabilization and Tracking using Graph Policy, Yu Tang Liu, Alberto Vale, Aamir Ahmad, Rodrigo Ventura and Meysam Basiri, In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), October 2025.
    (Preprint Available: https://arxiv.org/abs/2503.08259).

  4. [klar_ias_2025] BirdRecorder’s AI on Sky: Safeguarding birds of prey by detection and classification of tiny objects around wind turbines, Nico Klar, Nizam Gifary, Felix P.G. Ziegler, Frank Sehnke, Anton Kaifel, Eric Price, and Aamir Ahmad, In Proceedings of the 19th International Conference on Intelligent Autonomous Systems (IAS 2025), Genoa, Italy, July 2025.

  5. [chenghao_gcpr_2024] DynaPix SLAM: A Pixel-Based Dynamic Visual SLAM Approach, Elia Bonetto, Chenghao Xu and Aamir Ahmad, In The German Conference on Pattern Recognition 2024 (GCPR 2024) Pattern Recognition DAGM GCPR 2024. Lecture Notes in Computer Science, vol 15298. Springer, Cham., September 2024
    (Available Online: https://doi.org/10.1007/978-3-031-85187-2_11).

  6. [liu_iros_2024] Task and Domain Adaptive Reinforcement Learning for Robot Control, Yu Tang Liu, Nilaksh Singh and Aamir Ahmad, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024), Abu Dhabi, United Arab Emirates, 2024, pp. 656-663. October 2024.
    (Available Online: https://doi.org/10.1109/IROS58592.2024.10801963).

  7. [liu_ecc_2024] Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition, Yu-Tang Liu and Aamir Ahmad, In European Control Conference (ECC 2024), Stockholm, Sweden, 2024, pp. 3860-3867 2024.
    (Available Online: https://doi.org/10.23919/ECC64448.2024.10591301).

  8. [gall_icra_2024] End-to-End Thermal Updraft Detection and Estimation for Autonomous Soaring Using Temporal Convolutional Networks, Christian Gall, Walter Fichter and Aamir Ahmad, In 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, pp. 17875-17881. May 2024.
    (Available Online: https://doi.org/10.1109/ICRA57147.2024.10611479).

  9. [price_deltas_2024] [Award Paper] Airship Formations for Animal Motion Capture and Behavior Analysis, Eric Price and Aamir Ahmad, In 2nd International Conference on Design and Engineering of Lighter-Than-Air systems (DELTAs 2024), Mumbai, India, 2024.
    → Best Paper Award for the best paper presented on the second conference day (Preprint Available: https://doi.org/10.1007/978-981-96-8101-3_11).

  10. [zuo_case_2023] Autonomous Blimp Control via H-infinity Robust Deep Residual Reinforcement Learning , Yang Zuo, Yu Tang Liu and Aamir Ahmad, In 19th IEEE International Conference on Automation Science and Engineering (CASE 2023), Auckland, New Zealand, 2023.
    (Available Online: https://doi.org/10.1109/CASE56687.2023.10260561).

  11. [price_ias_2023] Accelerated Video Annotation Driven by Deep Detector and Tracker, Eric Price and Aamir Ahmad, In: Lee, SG., An, J., Chong, N.Y., Strand, M., Kim, J.H. (eds) Intelligent Autonomous Systems 18. IAS 2023, Lecture Notes in Networks and Systems, vol 794. Springer, Cham. 2023.
    (Available Online: https://doi.org/10.1007/978-3-031-44981-9_12)

  12. [bonetto_ecmr_2023] Synthetic Data-based Detection of Zebras in Drone Imagery, Elia Bonetto and Aamir Ahmad, In 2023 IEEE European Conference on Mobile Robots (ECMR 2023), Coimbra, Portugal, 2023.
    (Available Online: https://doi.org/10.1109/ECMR59166.2023.10256293).

  13. [liu_iros_22] Deep Residual Reinforcement Learning based Autonomous Blimp Control, Yu Tang Liu, Eric Price, Michael Black, and Aamir Ahmad, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, pp. 12566-12573, October 2022.
    (Available Online: https://doi.org/10.1109/IROS47612.2022.9981182).

  14. [bonetto_ecmr_2021] Active Visual SLAM with Independently Rotating Camera, Elia Bonetto, Pascal Goldschmid, Michael J. Black, and Aamir Ahmad, In 2021 European Conference on Mobile Robots (ECMR 2021), pages: 1-8, IEEE, 2021.
    (Available Online: https://doi.org/10.1109/ECMR50962.2021.9568791).

  15. [price_ias_2021] Simulation and Control of Deformable Autonomous Airships in Turbulent Wind, Eric Price, Yu Tang Liu, Michael J. Black, and Aamir Ahmad, In: Ang Jr, M.H., Asama, H., Lin, W., Foong, S. (eds) Intelligent Autonomous Systems 16. IAS 2021, Lecture Notes in Networks and Systems, vol 412, pages: 608–626, Springer International Publishing, 2021.
    (Available Online: https://doi.org/10.1007/978-3-030-95892-3_46)

  16. [patel_ias_21] Collaborative Mapping of Archaeological Sites Using Multiple UAVs, Manthan patel, Aditya Bandopadhyay, and Aamir Ahmad, In: Ang Jr, M.H., Asama, H., Lin, W., Foong, S. (eds) Intelligent Autonomous Systems 16. IAS 2021, Lecture Notes in Networks and Systems, vol 412, pages: 54-70, Springer International Publishing, 2021.
    (Available Online: https://doi.org/10.1007/978-3-030-95892-3_5)

  17. [saini_iccv_19] Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles, Nitin Saini, Eric Price, Rahul Tallamraju, Raffi Enficiaud, Roman Ludwig, Igor Martinovic, Aamir Ahmad and Michael Black, Proc. of the 2019 International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, 2019.
    (Available Online: https://doi.org/10.1109/ICCV.2019.00091).

  18. [tallamraju_case_2019] Motion Planning for Multi-Mobile-Manipulator Payload Transport Systems, Rahul Tallamraju, Durgesh Salunkhe, Sujit Rajappa, Aamir Ahmad, Kamalakar Karlapalem, Suril Vijaykumar Shah, Proc. of the 15th IEEE International Conference on Automation Science and Engineering (CASE 2019), Vancouver, Canada, 2019.
    (Available Online: https://doi.org/10.1109/COASE.2019.8842840).

  19. [tallamraju_ssrr_2018] Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios, Rahul Tallamraju, Sujit Rajappa, Michael J. Black, Kamalakar Karlapalem and Aamir Ahmad, 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2018), Philadelphia, PA, 2018, pp. 1-8. 2018.
    (Available Online: https://doi.org/10.1109/SSRR.2018.8468655).

  20. [ahmad_fusion_2016] Dynamic baseline stereo vision-based cooperative target tracking, Aamir Ahmad, Eugen Ruff, Heinrich H. Bülthoff, 19th International Conference on Information Fusion (FUSION 2016), Heidelberg, Germany, 2016.
    (Available Online: https://ieeexplore.ieee.org/document/7528092).

  21. [ahmad_ecmr_2015] [Award Paper] Moving-horizon Nonlinear Least Squares-based Multirobot Cooperative Perception, Aamir Ahmad, Heinrich H. Bülthoff, 7th European Conference on Mobile Robots (ECMR 2015), Lincoln, United Kingdom, 2015.
    → Voted by the reviewers and the conference participants as one of the 10 best papers presented.
    (Available Online: https://doi.org/10.1109/ECMR.2015.7324197).

  22. [sanz_irc_2015] Onboard robust person detection and tracking for domestic service robots, David Sanz, Aamir Ahmad, Pedro Lima, ROBOT’2015 - Second Iberian Robotics Conference, Lisbon, Portugal, 2015.
    (Available Online: https://doi.org/10.1007/978-3-319-18615-3_26).

  23. [ventura_robocup_2014] Towards Optimal Robot Navigation in Domestic Spaces, Rodrigo Ventura, Aamir Ahmad, RoboCup 2014: Robot World Cup XVIII, Volume 8992 of the series Lecture Notes in Computer Science pp 318-331. 2015.
    (Available Online: http://link.springer.com/chapter/10.1007%2F978-3-319-18615-3_26)

  24. [ahmad_icra_2013a] Cooperative Robot Localization and Target Tracking based on Least Squares Minimization, Aamir Ahmad, Gian Diego Tipaldi, Pedro Lima and Wolfram Burgard, Proc. of the 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), Karlsruhe, Germany, 2013.
    (Available Online: https://doi.org/10.1109/ICRA.2013.6631396).

  25. [ahmad_icra_2013b] Perception-Driven Multi-Robot Formation Control, Aamir Ahmad, Tiago Nascimento, André G. S. Conceição, Antonio Paulo Moreira and Pedro Lima, Proc. of the 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), Karlsruhe, Germany, 2013.
    (Available Online: https://doi.org/10.1109/ICRA.2013.6630821).

  26. [troppan_robotica_2013] Unknown-Color Spherical Object Detection and Tracking, A. Troppan, E. Guerreiro, F. Celiberti, G. Santos, Aamir Ahmad and Pedro Lima, in Proceedings of Robotica 2013 - 13th International Conference on Autonomous Robot Systems and Competitions, Lisbon, Portugal, 2013.
    (Available Online: https://doi.org/10.1109/Robotica.2013.6623533).

  27. [ahmad_ecmr_2011] [Award Paper] Multi-Robot Cooperative Object Tracking Based on Particle Filters , Aamir Ahmad and Pedro Lima, Proc. of European Conference on Mobile Robots (ECMR 2011), Örebro, Sweden, 2011.
    → Voted by the reviewers and the conference participants as one of the 10 best papers presented, 2011.

  28. [lima_robocup_2010] Cooperative Localization Based on Visually Shared Objects, Pedro Lima, P. Santos, R. Oliveira, Aamir Ahmad and J. Santos, RoboCup 2010: Robot Soccer World Cup XIV, Springer-Verlag, Berlin, Heidelberg 350-361. Series: Lecture Notes in Computer Science, Vol.6556 Subseries: Lecture Notes in Artificial Intelligence. 2011.
    (Available Online: http://link.springer.com/chapter/10.1007/978-3-642-20217-9_30)

  29. [ahmad_recpad_2009] Background Subtraction Based on Rank Constraint for Point Trajectories, Aamir Ahmad, Alessio Del Bue and Pedro Lima, Proc. of RecPad 2009 - 15th Portuguese Conference on Pattern Recognition, Aveiro, Portugal, 2009.

  30. [ahmad_isr_2008] Probabilistic Roadmap Method and Real Time Gait Changing Technique Implementation for Travel Time Optimization on a Designed Six-legged Robot, Aamir Ahmad and Nirjhar Dhang, Proc. of ISR 2008 - 39th International Symposium on Robotics, Seoul, South Korea, 2008.

Published Non peer-reviewed Workshop Papers

  1. [ahmad_iwec_2025] WildCap: Autonomous Non-Invasive Monitoring of Animal Behavior and Motion, Aamir Ahmad, Eric Price, Pranav Khandelwal, Viola Kerekes, Peter Csoban and Daniel Rubenstein, The International Wild Equid Conference (IWEC) 2025, Nanyuki, Kenya. 2025
    (Available Online: https://www.iwec2025.com/_files/ugd/dc4e3e_b25cf8499d4f4834910b4807bdb6a3e0.pdf)

  2. [ahmad_grc_2025] WildCap: Autonomous Non-Invasive Monitoring of Animal Behavior and Motion, Aamir Ahmad, Eric Price, Pascal Goldschmid, Elia Bonetto, Yu Tang Liu, Pranav Khandelwal, Viola Kerekes, Peter Csoban and Daniel Rubenstein, 1st German Robotics Conference 2025, Nürnberg, Germany. 2025
    (Available Online:https://bwsyncandshare.kit.edu/s/S5aPKgcrtoSwpjg)

  3. [khandelwal_sicb_2024] A framework for fast, large-scale, semi-automatic inference of animal behavior from monocular videos, Pranav Khandelwal, Eric Price, Daniel Rubenstein and Aamir Ahmad, Society for Integrative and Comparative Biology Annual Meeting 2024, Jan 2-6, Seattle, WA, USA. 2024
    (Available Online: https://doi.org/10.1093/icb/icae140)

  4. [khandelwal_sigspatial_2023] Towards large-scale spatio-temporal tracking of animal behavior in the wild, Pranav C. Khandelwal, Eric Price, Daniel I. Rubenstein and Aamir Ahmad, ACM SIGSPATIAL International Workshop on Spatio-temporal Data Analysis for Wildlife Conservation, Hamburg, Germany. 2023
    (Available Online:https://geowildlife2023.ist.psu.edu/)

  5. [bonetto_pt4ricra_2023] Learning from synthetic data generated with GRADE, Elia Bonetto, Chenghao Xu and Aamir Ahmad, IEEE International Conference on Robotics and Automation (ICRA) 2023, Pretraining4Robotics workshop, London, United Kingdom. 2023
    (Available Online:https://openreview.net/forum?id=SUIOuV2y-Ce)

  6. [bonetto_activeicra_2023] Simulation of Dynamic Environments for SLAM, Elia Bonetto, Chenghao Xu and Aamir Ahmad, International Conference on Robotics and Automation (ICRA) 2023, Active methods in autonomous navigation workshop, London, United Kingdom. 2023
    (Available Online: https://arxiv.org/abs/2305.04286)

  7. [schimpf_scitech_2023] Attention-Based Spatial Encoding for Multi Agent Coordination, Fabian Schimpf, Stefan Notter, Aamir Ahmad and Walter Fichter, AIAA SCITECH 2023 Forum, January 2023.
    (Available Online: https://arc.aiaa.org/doi/abs/10.2514/6.2023-2159)

  8. [bonetto_dgr_2021] Towards Active Visual SLAM, Elia Bonetto and Aamir Ahmad, 2021 Deutsche Gesellschaft für Robotik (DGR days). 2021
    (Available Online: https://indico.kit.edu/event/2389/attachments/4350/6716/DGR-2021-Proceedings.pdf)

  9. [ahmad_aerialswarms_2019] AirCap – Aerial Outdoor Motion Capture, Aamir Ahmad, Eric Price, Rahul Tallamraju, Nitin Saini, Guilherme Lawless, Roman Ludwig, Igor Martinovic, Heinrich H. Bülthoff, and Michael J. Black, In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), Workshop on Aerial Swarms, November 2019.
    https://lis2.epfl.ch/iros2019swarms/pdf/IROS2019_aerialSwarms_Ahmad.pdf

  10. [ahmad_iros_2015] Dataset Suite for Benchmarking Perception, Aamir Ahmad and Pedro Lima, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015) Workshop: Open forum on evaluation of results, replication of experiments and benchmarking in robotics research, October 2015, Hamburg, Germany, 2015.

  11. [odelga_reduas_2015] A Setup for Multi-UAV Hardware-In-The-Loop Simulations, Marcin Odelga, Paolo Stegagno, Heinrich Bülthoff and Aamir Ahmad, Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS 2015), November 2015, Cancun, Mexico, 2015. (Available Online: https://doi.org/10.1109/RED-UAS.2015.7441008).

  12. [schneider_rockin_2014] The rockin@ home challenge, Schneider, Sven and Hegger, Frederik and Ahmad, Aamir and Awaad, Iman and Amigoni, Francesco and Berghofer, Jakob and Bischoff, Rainer and Bonarini, Andrea and Dwiputra, Rhama and Fontana, Giulio and Hochgeschwender, Nico and Iocchi, Luca and Kraetzschmar, Gerhard and Lima, Pedro and Matteucci, Matteo and Nardi, Daniele and Schiaffonati, Viola, ISR/Robotik 2014; 41st International Symposium on Robotics, 1–7, 2014.
    (Available Online: https://ieeexplore.ieee.org/abstract/document/6840147).

  13. [dwiputra_rockin_2014] The RoCKIn@Work Challenge, Dwiputra, Rhama and Berghofer, Jakob and Ahmad, Aamir and Awaad, Iman and Amigoni, Francesco and Bischoff, Rainer and Bonarini, Andrea and Fontana, Giulio and Hegger, Frederik and Hochgeschwender, Nico and Iocchi, Luca and Kraetzschmar, Gerhard and Lima, Pedro and Matteucci, Matteo and Nardi, Daniele and Schiaffonati, Viola and Schneider, Sven, ISR/Robotik 2014; 41st International Symposium on Roboticsv, 1–6, 2014.
    (Available Online: https://ieeexplore.ieee.org/document/6840148).

  14. [ahmad_rockin_2013] Specification of general features of scenarios and robots for benchmarking through competitions, Ahmad, Aamir and Awaad, Iman and Amigoni, Francesco and Berghofer, Jakob and Bischoff, Rainer and Bonarini, Andrea and Dwiputra, Rhama and Fontana, Giulio and Hegger, Frederik and Hochgeschwender, Nico and others, RoCKIn Deliverable D, , 2013.

  15. [messias_robocup_2013] SocRob-MSL 2013 Team Description Paper for Middle Sized League, Joao Messias, Aamir Ahmad, Joao Reis, Miguel Serafim and Pedro Lima, 17th Annual RoboCup International Symposium, Eindhoven, The Netherlands, 2013.

  16. [messias_robocup_2011] ISocRob-MSL 2011, Team Description Paper for Middle Sized League, Joao Messias, Aamir Ahmad, Joao Reis, Joao Sousa and Pedro Lima, 15th Annual RoboCup International Symposium., Istanbul, Turkey, 2011.

  17. [lima_robocup_2009] ISocRob-MSL 2009 Team Description Paper for Middle Sized League, Pedro Lima, Joao Santos, Joao Estilita, Marco Barbosa, Aamir Ahmad, Jose Carreira, 13th Annual RoboCup International Symposium., Graz, Austria, 2009.

Selected Code and Datasets in Public Domain

  1. [code_animalbehaviour_2025] Animal Behavior Inference Framework, 2025 Code: https://github.com/robot-perception-group/Animal-Behaviour-Inference-Framework

  2. [data_animalbehavior_2025] DAZZLE: Drone-Acquired Zebra data for Large-scale Ecology research, 2025 Dataset: https://doi.org/10.18419/DARUS-5162

  3. [code_airshipformations_2023] Perception-driven MPC-based Formation Control of Airships, 2023 Code: https://github.com/robot-perception-group/Airship-MPC

  4. [code_data_grade_2024] GRADE: Generating Realistic Animated Dynamic Environments, 2024 Code: https://github.com/eliabntt/GRADE-RR Dataset: https://grade.is.tue.mpg.de/download.php

  5. [code_data_synzebra_2025] Synthetic zebras for learning in simulation, 2023 Code: https://zebrapose.is.tue.mpg.de/index.html Dataset: https://zebrapose.is.tue.mpg.de/download.php

  6. [iuganov_git_2023] Fitting Articulated Animal Model (SMAL) to Multiview Keypoints Using pytorch, 2023 Code: https://github.com/robot-perception-group/smalify

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