activity
20182020
most citedRobot self/other distinction: active inference meets neural networks learning in a mirror

21 citations · 25 across the 3 of their papers we have counts for

collaborators
Showing cs.ROShow all

5 papers · 1 filter

cs.RO202021 cited

Robot self/other distinction: active inference meets neural networks learning in a mirror

Pablo Lanillos, Jordi Pages, Gordon Cheng

Self/other distinction and self-recognition are important skills for interacting with the world, as it allows humans to differentiate own actions from others and be self-aware. How…

cs.RO2019

Active inference body perception and action for humanoid robots

Guillermo Oliver, Pablo Lanillos, Gordon Cheng

Providing artificial agents with the same computational models of biological systems is a way to understand how intelligent behaviours may emerge. We present an active inference bo…

cs.RO20194 cited

Sensorimotor learning for artificial body perception

German Diez-Valencia, Takuya Ohashi, Pablo Lanillos +1

Artificial self-perception is the machine ability to perceive its own body, i.e., the mastery of modal and intermodal contingencies of performing an action with a specific sensors/…

cs.RO2018

Attention-based Active Visual Search for Mobile Robots

Amir Rasouli, Pablo Lanillos, Gordon Cheng +1

We present an active visual search model for finding objects in unknown environments. The proposed algorithm guides the robot towards the sought object using the relevant stimuli p…

cs.RO2018

Adaptive robot body learning and estimation through predictive coding

Pablo Lanillos, Gordon Cheng

The predictive functions that permit humans to infer their body state by sensorimotor integration are critical to perform safe interaction in complex environments. These functions…