LARS is a unique opportunity to present original research, student posters, and applied case studies in a collaborative, robotics-focused environment. Whether you're investigating autonomous systems, designing novel platforms, or exploring education through robotics, this is where your work finds its audience.

Paper Submission Guidelines

The program committee invites interested authors to submit their works (4 to 6 pages long) in English through https://easychair.org/my/conference?conf=lars2026. The submitted papers are grouped as follows:

• Regular papers (four to six pages, English language).

Submitted papers to LARS 2026 must be original, not previously published, or accepted for publication elsewhere, and must not be submitted to any other event or publisher during the entire review process. IEEE policy regarding plagiarism and duplicate submission/publication will be strictly enforced.

Submited papers must follow the IEEE format for conference papers. See for example: https://www.ieee.org/conferences/publishing/templates

Poster Submission Guidelines

The program committee invites interested students to submit their works for a poster presentation in either English/Spanish through a google form: https://forms.gle/Tjk7Lh6EEwJLB28n7 (not open yet).

The interested students should initially submit to LARS 2026 an abstract of their original works, not previously published, or accepted for publication elsewhere, and must not be submitted to any other event or publisher during the entire review process. Submited abstracts must be only one page in the IEEE format for conference papers. See for example: https://www.ieee.org/conferences/publishing/templates

The abstract will be evaluated, and the selected posters for presentation will receive confimation to create the poster and submitted for quality check, before it to be printed for the poster session.

List of Topics

• Vision in robotics and automation
• Symbol mediated robot behavior control
• Sensory mediated robot behavior control
• Active sensory processing and control
• Industrial applications of autonomous systems
• Sensor modeling and data interpretation
• Robust techniques in AI and sensing
• Robot programming
• Multi-Robot and Multi-Agents, Cooperation and Collaboration
• CAD-based robotics
• Robot simulation and visualization tools
• Tele-operated and autonomous systems
• Micro electromechanical robots
• Robot modeling
• Robot control architectures
• Sensor-Motor control of Robots
• Robot planning, reasoning, communication, adaptation and learning
• Mechanical design
• Robotic Manipulators
• Robot soccer
• Evolutionary robotics
• Bio-Inspired robotics
• Robots for robotic surgery and rehabilitation
• Micro/nano robotics, new Devices and materials for robots
• Human Robot Interaction and Interfaces
• Education issues in Robotics
• Computing architectures
• Sensor Networks, architectures of embedded Hardware and software
• Self-Localization, Mapping and Navigation
• Multi-robot systems
• Aerial vehicles
• Autonomous vehicles
• Mobile robot platforms
• Service robots and entertainment robots
• Underwater robots
• Humanoids

Invited Speakers

• Steven LaValle

  Professor

  University of Oulu

  Steven LaValle is a pioneer in robotics, virtual reality, and motion planning, currently serving as Professor at the University of Oulu. He is widely recognized for developing the Rapidly-exploring Random Tree (RRT) algorithm, one of the most influential motion-planning methods in robotics, and for his role as an early founder and chief scientist of Oculus VR, where he contributed to the development of the Oculus Rift VR headset. His research spans robotics, virtual and augmented reality, perception engineering, sensing, and control theory. He is also the author of the highly influential books Planning Algorithms and Virtual Reality, and currently leads research on the foundations of perception engineering supported by the European Research Council.

• Nadia Figueroa

  Professor

  University of Pennsylvania

  Nadia Figueroa is the Shalini and Rajeev Misra Presidential Assistant Professor of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania, with appointments in Computer and Information Science and Electrical and Systems Engineering, and is a core faculty member of the GRASP Lab. She earned her PhD from the École Polytechnique Fédérale de Lausanne and previously conducted research at Massachusetts Institute of Technology, DLR, and NYU Abu Dhabi. Her research integrates control theory, machine learning, AI, perception, and biomechanics to advance safe and efficient human-robot collaboration. She is the recipient of several prestigious recognitions, including the 2025 NSF CAREER Award and multiple best paper awards in robotics.

  Talk topic: The Dynamics of Fluid Physical Interaction: Towards Safe, Adaptive, and Compliant Robot Intelligence

• Arturo Forner-Cordero

  Professor

  University of Sao Paulo

  Arturo Forner-Cordero is an Associate Professor in the Mechatronics Department at the University of São Paulo, where he leads the Biomechatronics Lab. Since 2024, he has served as Director of the Center of Assistive Technologies for Activities of Daily Life (CTECVIDA), promoting collaborative research and development of assistive mobility technologies. His research focuses on the neural mechanisms of human movement, biomimetic robotics, exoskeletons, and the effects of sleep deprivation on motor control. He has authored more than 200 scientific and technological contributions, including journal articles, conference papers, books, patents, and measurement devices.

• Rafael Fierro

  Professor

  Rafael Fierro

  Rafael Fierro is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico since 2007. He received his MSc in Control Engineering from the University of Bradford and his PhD in Electrical Engineering from the University of Texas at Arlington. His research focuses on cyber-physical systems, robotic networks, multi-agent coordination, UAVs, and collaborative robotic manipulation for on-orbit servicing. His work has been supported by organizations including the National Science Foundation, ARL, AFRL, DOE, Sandia National Laboratories, and the Breakthrough Foundation.

  Talk topic: Collective Robotic Intelligence for On-Orbit Servicing, Cooperative Transport, and Shape-Morphing Flight

• Leonardo Bobadilla

  Professor

  Florida International University

  Leonardo Bobadilla is an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. He earned his PhD in Computer Science from the University of Illinois Urbana-Champaign. His research focuses on the information requirements for robotics tasks such as navigation, patrolling, tracking, and motion safety, with emphasis on multi-robot systems using minimal sensing and computation. His work has been supported by organizations including NSF, the Army Research Office, and the Department of Homeland Security, and has been published in leading robotics and automation journals.

Publication

Accepted and presented papers at LARS 2026 will be published to the LARS Proceedings in IEEE Xplore.

In order to get published, the accepted and presented paper must be writen in English, and must be original, not previously published, or accepted for publication elsewhere, and must not be submitted to any other event or publisher during the entire review process. IEEE policy regarding plagiarism and duplicate submission/publication will be strictly enforced.

Venue

The conference will be held in Universidad Militar Nueva Granada - Bogotá campus (Carrera 11 # 101 - 80), Bogotá - Colombia.

Contact

All questions about submissions should be emailed to larslarc@unimilitar.edu.co

Sponsors

Universidad Militar Nueva Granada

IEEE Colombia Section

IEEE RAS Colombia

IEEE CSS Colombia

IEEE EMBs Colombia