Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot
This paper describes a collection of optimization algorithms for achieving dynamic planning,
control, and state estimation for a bipedal robot designed to operate reliably in complex …
control, and state estimation for a bipedal robot designed to operate reliably in complex …
Coarse-to-fine q-attention: Efficient learning for visual robotic manipulation via discretisation
We present a coarse-to-fine discretisation method that enables the use of discrete
reinforcement learning approaches in place of unstable and data-inefficient actor-critic …
reinforcement learning approaches in place of unstable and data-inefficient actor-critic …
An evaluation of the RGB-D SLAM system
We present an approach to simultaneous localization and map** (SLAM) for RGB-D
cameras like the Microsoft Kinect. Our system concurrently estimates the trajectory of a hand …
cameras like the Microsoft Kinect. Our system concurrently estimates the trajectory of a hand …
OctoMap: An efficient probabilistic 3D map** framework based on octrees
Three-dimensional models provide a volumetric representation of space which is important
for a variety of robotic applications including flying robots and robots that are equipped with …
for a variety of robotic applications including flying robots and robots that are equipped with …
Approaches and challenges in Internet of robotic things
The Internet of robotic things (IoRT) is the combination of different technologies including
cloud computing, robots, Internet of things (IoT), artificial intelligence (AI), and machine …
cloud computing, robots, Internet of things (IoT), artificial intelligence (AI), and machine …
On the gap between domestic robotic applications and computational intelligence
Aspired to build intelligent agents that can assist humans in daily life, researchers and
engineers, both from academia and industry, have kept advancing the state-of-the-art in …
engineers, both from academia and industry, have kept advancing the state-of-the-art in …
INS/GPS/LiDAR integrated navigation system for urban and indoor environments using hybrid scan matching algorithm
This paper takes advantage of the complementary characteristics of Global Positioning
System (GPS) and Light Detection and Ranging (LiDAR) to provide periodic corrections to …
System (GPS) and Light Detection and Ranging (LiDAR) to provide periodic corrections to …
Efficient filtering of XML documents with XPath expressions
The publish/subscribe paradigm is a popular model for allowing publishers (ie, data
generators) to selectively disseminate data to a large number of widely dispersed …
generators) to selectively disseminate data to a large number of widely dispersed …
Path planning for active SLAM based on deep reinforcement learning under unknown environments
Autonomous navigation in complex environment is an important requirement for the design
of a robot. Active SLAM (simultaneous localization and map**) combining, which combine …
of a robot. Active SLAM (simultaneous localization and map**) combining, which combine …
Pronto: A multi-sensor state estimator for legged robots in real-world scenarios
In this paper, we present a modular and flexible state estimation framework for legged robots
operating in real-world scenarios, where environmental conditions, such as occlusions, low …
operating in real-world scenarios, where environmental conditions, such as occlusions, low …