activity
19952024
most citedInteractive Policy Learning through Confidence-Based Autonomy

221 citations · 699 across the 43 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

cs.AI2017

What Can This Robot Do? Learning from Appearance and Experiments

Ashwin Khadke, Manuela Veloso

When presented with an unknown robot (subject) how can an autonomous agent (learner) figure out what this new robot can do? The subject's appearance can provide cues to its physica…

cs.RO2017★ 1 cited

UAV and Service Robot Coordination for Indoor Object Search Tasks

Sandeep Konam, Stephanie Rosenthal, Manuela Veloso

Our CoBot robots have successfully performed a variety of service tasks in our multi-building environment including accompanying people to meetings and delivering objects to office…

cs.RO2017★ 50 cited

Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation

Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar +2

Multisensory polices are known to enhance both state estimation and target tracking. However, in the space of end-to-end sensorimotor control, this multi-sensor outlook has receive…

cs.RO2017★ 34 cited

Obstacle Avoidance through Deep Networks based Intermediate Perception

Shichao Yang, Sandeep Konam, Chen Ma +3

Obstacle avoidance from monocular images is a challenging problem for robots. Though multi-view structure-from-motion could build 3D maps, it is not robust in textureless environme…

cs.RO2017★ 15 cited

Setting Up Pepper For Autonomous Navigation And Personalized Interaction With Users

Vittorio Perera, Tiago Pereira, Jonathan Connell +1

In this paper we present our work with the Pepper robot, a service robot from SoftBank Robotics. We had two main goals in this work: improving the autonomy of this robot by increas…