Mohammad Mohammadi — accepted AI-conference papers

2025

MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning

Mohammad Mohammadi, Daniel Honerkamp, Martin Büchner, Matteo Cassinelli, Tim Welschehold, Fabien Despinoy +2

IROS 2025

Autonomous long-horizon mobile manipulation encompasses a multitude of challenges, including scene dynamics, unexplored areas, and error recovery. Recent works have leveraged foundation models for scene-level robotic reasoning and planning. However, the performance of these methods degrades when dea

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2025

TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras

Mohammad Mohammadi, Ziyi Wu, Igor Gilitschenski

ICCV 2025poster

Long-term temporal information is crucial for event-based perception tasks, as raw events only encode pixel brightness changes. Recent works show that when trained from scratch, recurrent models achieve better results than feedforward models in these tasks. However, when leveraging self-supervised p…

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2022

PALMER: Perception - Action Loop with Memory for Long-Horizon Planning

Onur Beker, Mohammad Mohammadi, Amir Zamir

NeurIPS 2022accept

To achieve autonomy in a priori unknown real-world scenarios, agents should be able to: i) act from high-dimensional sensory observations (e.g., images), ii) learn from past experience to adapt and improve, and iii) be capable of long horizon planning. Classical planning algorithms (e.g. PRM, RRT) a…

Cited by 4 Source ↗PDF ↗Scholar ↗