9 papers
Slot-RAE: Streamlining Object-Centric Learning via Direct Representation Auto-Encoders
Alexandre Chapin, Emmanuel Dellandrea, Liming Chen
Deploying object-centric models for real-world scene understanding typically requires complex pipelines to achieve both robust scene decomposition and high-fidelity generation. Rec…
More Structure, Not More Capacity: Object-Centric Representations for Visuomotor Imitation Learning
Yi Li, Alexandre Chapin, Liming Chen +2
Robotic manipulation policies rely on pre-trained vision models that give either a global scene embedding or a dense patch grid. Both mix task-relevant and task-irrelevant features…
Flowing With Purpose: Latent Action Guided Flow Matching Policies For Robotic Manipulation
Bruno Machado, Alexandre Chapin, Emmanuel Dellandrea +1
Flow matching has recently become a new standard for behavior cloning in robotic manipulation. However, state-of-the-art flow matching policies suffer from a systematic structural…
Warm-Starting Collision-Free Model Predictive Control With Object-Centric Diffusion
Arthur Haffemayer, Alexandre Chapin, Armand Jordana +4
Acting in cluttered environments requires predicting and avoiding collisions while still achieving precise control. Conventional optimization-based controllers can enforce physical…
Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation
Alexandre Chapin, Bruno Machado, Emmanuel Dellandrea +2
The generalization capabilities of robotic manipulation policies are heavily influenced by the choice of visual representations. Existing approaches typically rely on representatio…
STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation
Alexandre Chapin, Emmanuel Dellandréa, Liming Chen
Visual foundation models provide strong perceptual features for robotics, but their dense representations lack explicit object-level structure, limiting robustness and controllabil…
Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges
Zezeng Li, Alexandre Chapin, Enda Xiang +6
Robotic Manipulation (RM) is central to the advancement of autonomous robots, enabling them to interact with and manipulate objects in real-world environments. This survey focuses…
Is an object-centric representation beneficial for robotic manipulation ?
Alexandre Chapin, Emmanuel Dellandrea, Liming Chen
Object-centric representation (OCR) has recently become a subject of interest in the computer vision community for learning a structured representation of images and videos. It has…
Object-Centric Representations Improve Policy Generalization in Robot Manipulation
Alexandre Chapin, Bruno Machado, Emmanuel Dellandrea +1
Visual representations are central to the learning and generalization capabilities of robotic manipulation policies. While existing methods rely on global or dense features, such r…