Ideas Track
Original, unpublished contributions advancing the state of the art in long-term perception; formatted as 2-4+N page short papers using the IEEE IROS template, with emphasis on novelty, technical quality, and promising results.
2nd Workshop on Long-Term Perception for Human-Centric Autonomy (LTP): Towards Undo for the Physical World
The 2nd Workshop on Long-Term Perception for Human-Centric Autonomy (LTP-WS 2026) brings together researchers from Robotics, Computer Vision, and Machine Learning to address the challenge of long-term perception in dynamic, human-shared environments. Building on the success of the 2024 workshop, it aims to unify terminology, showcase recent advances, and foster community growth through tutorials, mentoring, and interactive sessions, with a focus on enabling robots to understand and adapt to changing real-world scenes over time.
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Original, unpublished contributions advancing the state of the art in long-term perception; formatted as 2-4+N page short papers using the IEEE IROS template, with emphasis on novelty, technical quality, and promising results.
Previously published work relevant to the workshop (e.g., recent IROS'26 papers); submitted as a poster (PDF) with DOI, aimed at fostering discussion and enriching content diversity.
Demonstrations of robots, sensors, algorithms, or web-based tools relevant to long-term perception; submitted as a video or screen capture, including work under development, to promote interactive engagement.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026