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

11 papers

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…