2019 5th International Conference on Robotics and Artificial Intelligence (ICRAI 2019) has been held in NTU@ONE-NORTH, Singapore during November 22-24, 2019 successfully. The organizing committees for ICRAI 2019 conference has been committed to facilitating the interactions among researchers working in the field of robotics and artificial intelligence. Through this conference, the committees intend to enhance the sharing of individual knowledge and expertise in robotic developments with particular emphasis on the design of robots.
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Asymptotic Parallel Parking for Differential-Drive Vehicles in Presence of Static Obstacles
The problem of generating smooth parallel parking control for non- holonomic robot is addressed in this paper. A two-stage motion planner is designed considering collision avoidance, noholonomic constraints and control convergence. In the first stage, ...
Data Analysis Technology of Service Robot System for Business Improvement
Various kinds of data can be collected with service robot in business scenes and it is important to utilize such data for business improvement. In this paper, the research results of data analysis technology for business improvement as a function of ...
A 3D LiDAR Dataset of ITU Heterogeneous Robot Team
This paper describes a data set collected with a heterogeneous team of robots consisting of an unmanned ground and aerial vehicles driven in small area inside Maslak Campus of Istanbul Technical University. It is a valuable data set for testing SLAM, ...
Self-Teaching Strategy for Learning to Recognize Novel Objects in Collaborative Robots
Collaborative robot (cobot) is designed to be deployed to different tasks flexibly. For a new task, it is necessary to train the cobot to detect and recognize novel objects. Using dominant object detector based on Faster R-CNN, a user has to train it ...
Path Planning of Lunar Robot Based on an Adaptive Ant Colony Algorithm
Path planning of lunar robots is the guarantee that lunar robots can complete tasks safely and accurately. Aiming at the shortest path and the least energy consumption, an adaptive potential field ant colony algorithm (A-APFACO) suitable for path ...
Mobile Robot Routing with Energy Consumption Optimization
We consider scheduling mobile robots which are used to carry materials for intelligent manufacturing. Battery-powered mobile robots transport materials from warehouse to a set of demand points, and their power varies during a trip as the weight of loads ...
Design and Application of Modern Control System for Quadrotor UAV in PIXHAWK
With the development of the military or civilian application of quadcopter, UAV has drawn full attention and interests, due to its advantages of flexibility, portability, versatility. The flight control system of a quadcopter is nonlinear and coupled. ...
An Autonomous Seeder for Maize Crop
This paper presents a solution for sowing maize using an autonomous robot. The robotic seeder minimizes human involvement in the sowing process and hence reduces errors, time consumption and increases efficiency. An adjustable feature has been ...
3D Visibility Graph based Motion Planning and Control
This paper proposed a motion planning and control approach for real-time collision avoidance of high degree-of-freedom (DoF) robots. It constructs a 3D visibility graph by representing external obstacles with discrete polyhedrons and searches for the ...
An Interactive Training System for Upper Limb Rehabilitation Using Visual and Auditory Feedback
Stroke is the leading cause of adult disability around the world. The arm skate is designed for recovering the motor function of upper limb after stroke. The interactive training system described in this paper consists of a robotic arm skate and a user ...
Automatic Dimensional Measurement using Datums Generated from Point Clouds
Dimensional measurement is critical for quality control. Manual dimensional measurement using standard gauges can only be applied on a few datums. To measure a huge number of datums, a component needs to be scanned into a point cloud and measured ...
Prediction of Pedestrian Trajectory in a Crowded Environment Using RNN Encoder-Decoder
Deep learning is the current state-of-the-art technique for most machine learning and data analytics tasks. It has been applied to all aspects of human life. Traditional methods are not competitive for solving pedestrian trajectory prediction problems ...
Using Visual Intelligence to Automate Maintenance Task Guidance and Monitoring on a Head-mounted Display
Maintenance is a required process in many commercial domains. Commonly, paper-based instruction manuals are digitised to improve accessibility to maintenance information. Among the different forms of digital media, augmented reality (AR) combined with ...
Enhance the Efficacy of Deep CNN with Auxiliary Labels
Auxiliary attributes can improve the performance of deep CNNs for image classification. However, not all auxiliary tasks are helpful for main task performance. Therefore, in this paper we focus on improving the efficacy of deep CNN models with the ...
Non-Stationary Reinforcement-Learning Based Dimensionality Reduction for Multi-objective Optimization of Wetland Design
This paper outlines a method of non-stationary reinforcement-based learning for feature selection. The method was developed for the Watershed REstoration using Spatio-Temporal Optimization of REsources (WRESTORE) system, which is a decision support ...
A New Fuzzy Algorithm for Delay Constrained Minimum Energy Transmission of Sensor Array Data in Wireless Sensor Networks
An array of diverse sensors interfaced with a small computing device that has a short-range radio transceiver forms a wireless sensor or node. A network of such devices forms a wireless sensor network (WSN). Today WSNs find application in various fields ...
Identification of a Speaker from Familiar and Unfamiliar Voices
All human voices carry information about a person that allow us to identify individuals. Most of us can remember voices that surround us that are 'unique' in some way. In this paper, we examine the identification of familiar and unfamiliar voices. The ...
Design and Experimental Study on Motor Type Automatic Driving System of Agricultural Machinery Based on Beidou Navigation
To overcome the problems of machine matching and environmental adaptability existing in the automatic driving technology of agricultural machinery, this paper proposed a automatic driving system of motor type agricultural machinery, and introduces the ...
Index Terms
- Proceedings of the 5th International Conference on Robotics and Artificial Intelligence