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

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

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

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

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