activity
20162024
most citedSymbol Emergence in Cognitive Developmental Systems: a Survey

95 citations · 274 across the 10 of their papers we have counts for

collaborators
Showing cs.ROShow all

9 papers · 1 filter

cs.RO2024★ 13 cited

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…

cs.RO2023★ 6 cited

World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges

Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki +8

Creating autonomous robots that can actively explore the environment, acquire knowledge and learn skills continuously is the ultimate achievement envisioned in cognitive and develo…

cs.RO2022★ 74 cited

Visuo-Haptic Object Perception for Robots: An Overview

Nicolás Navarro-Guerrero, Sibel Toprak, Josip Josifovski +1

The object perception capabilities of humans are impressive, and this becomes even more evident when trying to develop solutions with a similar proficiency in autonomous robots. Wh…

cs.RO2019★ 2 cited

Robust and fast generation of top and side grasps for unknown objects

Brice Denoun, Beatriz Leon, Claudio Zito +3

In this work, we present a geometry-based grasping algorithm that is capable of efficiently generating both top and side grasps for unknown objects, using a single view RGB-D camer…

cs.RO2019★ 4 cited

Metrics and Benchmarks for Remote Shared Controllers in Industrial Applications

Claudio Zito, Maxime Adjigble, Brice D. Denoun +3

Remote manipulation is emerging as one of the key robotics tasks needed in extreme environments. Several researchers have investigated how to add AI components into shared controll…

cs.RO2019★ 9 cited

Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions

Giovanni Saponaro, Lorenzo Jamone, Alexandre Bernardino +1

We propose a developmental approach that allows a robot to interpret and describe the actions of human agents by reusing previous experience. The robot first learns the association…

cs.RO2018★ 8 cited

Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots

Giovanni Saponaro, Pedro Vicente, Atabak Dehban +3

One of the open challenges in designing robots that operate successfully in the unpredictable human environment is how to make them able to predict what actions they can perform on…

cs.RO2017★ 6 cited

Interactive Robot Learning of Gestures, Language and Affordances

Giovanni Saponaro, Lorenzo Jamone, Alexandre Bernardino +1

A growing field in robotics and Artificial Intelligence (AI) research is human-robot collaboration, whose target is to enable effective teamwork between humans and robots. However,…

cs.RO2016

Unscented Bayesian Optimization for Safe Robot Grasping

José Nogueira, Ruben Martinez-Cantin, Alexandre Bernardino +1

We address the robot grasp optimization problem of unknown objects considering uncertainty in the input space. Grasping unknown objects can be achieved by using a trial and error e…