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03/15/2022
Dynamical Modeling and Control of Soft Robots with Non-constant Curvature Deformation
The Piecewise Constant Curvature (PCC) model is the most widely used sof...
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01/10/2022
Task planning and explanation with virtual actions
One of the challenges of task planning is to find out what causes the pl...
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01/05/2022
Control of a Soft Robotic Arm Using a Piecewise Universal Joint Model
The 'infinite' passive degrees of freedom of soft robotic arms render th...
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09/13/2021
A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator
It is challenging to control a soft robot, where reinforcement learning ...
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09/06/2021
Crowd-Aware Robot Navigation for Pedestrians with Multiple Collision Avoidance Strategies via Map-based Deep Reinforcement Learning
It is challenging for a mobile robot to navigate through human crowds. E...
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11/02/2020
NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
Traditionally, reinforcement learning methods predict the next action ba...
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11/01/2020
Semantic Task Planning for Service Robots in Open World
In this paper, we present a planning system based on semantic reasoning ...
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07/08/2020
Design, Control, and Applications of a Soft Robotic Arm
This paper presents the design, control, and applications of a multi-seg...
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05/20/2020
Learning and Reasoning for Robot Dialog and Navigation Tasks
Reinforcement learning and probabilistic reasoning algorithms aim at lea...
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05/07/2020
Adaptive Dialog Policy Learning with Hindsight and User Modeling
Reinforcement learning methods have been used to compute dialog policies...
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04/22/2020
AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning
Deep reinforcement learning (RL) algorithms frequently require prohibiti...
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04/05/2020
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking
Although heatmap regression is considered a state-of-the-art method to l...
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02/11/2020
Robot Navigation with Map-Based Deep Reinforcement Learning
This paper proposes an end-to-end deep reinforcement learning approach f...
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09/28/2018
Robot Representing and Reasoning with Knowledge from Reinforcement Learning
Reinforcement learning (RL) agents aim at learning by interacting with a...
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08/28/2018
KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation
We propose KDSL, a new word sense disambiguation (WSD) framework that ut...
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08/20/2018
Learning to Dialogue via Complex Hindsight Experience Replay
Reinforcement learning methods have been used for learning dialogue poli...
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04/28/2018
Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection
For the training of face detection network based on R-CNN framework, anc...
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06/14/2017
RoboCup 2D Soccer Simulation League: Evaluation Challenges
We summarise the results of RoboCup 2D Soccer Simulation League in 2016 ...
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12/26/2016
Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching
Depth scans acquired from different views may contain nuisances such as ...
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06/09/2016
Understanding User Instructions by Utilizing Open Knowledge for Service Robots
Understanding user instructions in natural language is an active researc...
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10/16/2012
FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs
Planning in partially observable Markov decision processes (POMDPs) rema...
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03/15/2012