16 citations · 86 across the 20 of their papers we have counts for
20 papers
Learning to Represent Action Values as a Hypergraph on the Action Vertices
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
Action-value estimation is a critical component of many reinforcement learning (RL) methods whereby sample complexity relies heavily on how fast a good estimator for action value c…
Asynchronous Real-Time Optimization of Footstep Placement and Timing in Bipedal Walking Robots
Digby Chappell, Ke Wang, Petar Kormushev
Online footstep planning is essential for bipedal walking robots to be able to walk in the presence of disturbances. Until recently this has been achieved by only optimizing the pl…
Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data
Roni Permana Saputra, Nemanja Rakicevic, Petar Kormushev
This paper addresses the problem of human body detection---particularly a human body lying on the ground (a.k.a. casualty)---using point cloud data. This ability to detect a casual…
ResQbot: A Mobile Rescue Robot with Immersive Teleperception for Casualty Extraction
Roni Permana Saputra, Petar Kormushev
In this work, we propose a novel mobile rescue robot equipped with an immersive stereoscopic teleperception and a teleoperation control. This robot is designed with the capability…
Casualty Detection from 3D Point Cloud Data for Autonomous Ground Mobile Rescue Robots
Roni Permana Saputra, Petar Kormushev
One of the most important features of mobile rescue robots is the ability to autonomously detect casualties, i.e. human bodies, which are usually lying on the ground. This paper pr…
Exploring Restart Distributions
Arash Tavakoli, Vitaly Levdik, Riashat Islam +2
We consider the generic approach of using an experience memory to help exploration by adapting a restart distribution. That is, given the capacity to reset the state with those cor…