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Paul Schydlo

4 accepted papers

2022

TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors

ECCV 2022poster

"We introduce TIDEE, an embodied agent that tidies up a disordered scene based on learned commonsense object placement and room arrangement priors. TIDEE explores a home environment, detects objects that are out of their natural place, infers plausible object contexts for them, localizes such contex…

2021

SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics

IROS 2021poster

Soft robotics is a thriving branch of robotics which takes inspiration from nature and uses affordable flexible materials to design adaptable non-rigid robots. However, their flexible behavior makes these robots hard to model, which is essential for a precise actuation and for optimal control. For s…

Cited by 9SourceScholar
2020

Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping

ECCV 2020poster

with Neural 3D Mapping","We hypothesize that an agent that can look around in static scenes can learn rich visual representations applicable to 3D object tracking in complex dynamic scenes. We are motivated in this pursuit by the fact that the physical world itself is mostly static, and multiview co…

2018

Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction

ICRA 2018poster

Close human-robot cooperation is a key enabler for new developments in advanced manufacturing and assistive applications. Close cooperation require robots that can predict human actions and intent, understanding human non-verbal cues. Recent approaches based on neural networks have led to encouragin…

Cited by 88SourcecodeScholar