254 citations · 390 across the 30 of their papers we have counts for
11 papers · 1 filter
Bayesian optimization for robust robotic grasping using a sensorized compliant hand
Juan G. Lechuz-Sierra, Ana Elvira H. Martin, Ashok M. Sundaram +2
One of the first tasks we learn as children is to grasp objects based on our tactile perception. Incorporating such skill in robots will enable multiple applications, such as incre…
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones
Carlos Plou, Pablo Pueyo, Ruben Martinez-Cantin +3
Gen-Swarms is an innovative method that leverages and combines the capabilities of deep generative models with reactive navigation algorithms to automate the creation of drone show…
ZARRIO @ Ego4D Short Term Object Interaction Anticipation Challenge: Leveraging Affordances and Attention-based models for STA
Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Josechu Guerrero-Campo +1
Short-Term object-interaction Anticipation (STA) consists of detecting the location of the next-active objects, the noun and verb categories of the interaction, and the time to con…
CARLOR @ Ego4D Step Grounding Challenge: Bayesian temporal-order priors for test time refinement
Carlos Plou, Lorenzo Mur-Labadia, Ruben Martinez-Cantin +1
The goal of the Step Grounding task is to locate temporal boundaries of activities based on natural language descriptions. This technical report introduces a Bayesian-VSLNet to add…
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation
Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Josechu Guerrero +2
Short-Term object-interaction Anticipation consists of detecting the location of the next-active objects, the noun and verb categories of the interaction, and the time to contact f…
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
Carlos Plou, Ana C. Murillo, Ruben Martinez-Cantin
Efficiently tackling multiple tasks within complex environments, such as those found in robot manipulation, remains an ongoing challenge in robotics and an opportunity for data-dri…
EventSleep: Sleep Activity Recognition with Event Cameras
Carlos Plou, Nerea Gallego, Alberto Sabater +5
Event cameras are a promising technology for activity recognition in dark environments due to their unique properties. However, real event camera datasets under low-lighting condit…
Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty
Joao Castanheira, Pedro Vicente, Ruben Martinez-Cantin +2
Robust grasping is a major, and still unsolved, problem in robotics. Information about the 3D shape of an object can be obtained either from prior knowledge (e.g., accurate models…
Bayesian Optimization with Adaptive Kernels for Robot Control
Ruben Martinez-Cantin
Active policy search combines the trial-and-error methodology from policy search with Bayesian optimization to actively find the optimal policy. First, policy search is a type of r…
Gaussian Mixture Models for Affordance Learning using Bayesian Networks
Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin +1
Affordances are fundamental descriptors of relationships between actions, objects and effects. They provide the means whereby a robot can predict effects, recognize actions, select…
Body Schema Acquisition through Active Learning
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesano
We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using Recu…