6 papers
SMPLicit: Topology-aware Generative Model for Clothed People
Enric Corona, Albert Pumarola, Guillem Alenyà +2
In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry. In contrast to existing learning-based approaches that re…
Online Action Recognition
Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras +1
Recognition in planning seeks to find agent intentions, goals or activities given a set of observations and a knowledge library (e.g. goal states, plans or domain theories). In thi…
STRIPS Action Discovery
Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras +1
The problem of specifying high-level knowledge bases for planning becomes a hard task in realistic environments. This knowledge is usually handcrafted and is hard to keep updated,…
Dynamic Cloth Manipulation with Deep Reinforcement Learning
Rishabh Jangir, Guillem Alenya, Carme Torras
In this paper we present a Deep Reinforcement Learning approach to solve dynamic cloth manipulation tasks. Differing from the case of rigid objects, we stress that the followed tra…
A Grasping-centered Analysis for Cloth Manipulation
Júlia Borràs, Guillem Alenya, Carme Torras
Compliant and soft hands have gained a lot of attention in the past decade because of their ability to adapt to the shape of the objects, increasing their effectiveness for graspin…
Context-aware Human Motion Prediction
Enric Corona, Albert Pumarola, Guillem Alenyà +1
The problem of predicting human motion given a sequence of past observations is at the core of many applications in robotics and computer vision. Current state-of-the-art formulate…