Autonomous reconnaissance mission: development of an algorithm for collaborative multi robot communication

A collaborative team of two resource constrained semi-autonomous hexapod robots have been developed that perform navigation tasks while satisfying communication constraints. Our approach is based on the use of a control structure where each hexapod performs elementary tasks, a behavior-based controller generates motion directives to achieve the collaborative tasks, and controller generates the actuator commands to follow the motion directives. The control technique has been developed for a mission where a target location spread across a static environment has to be visited once by the two hexapods while maintaining a relative given distance with wireless communication. Wireless communication under mobile ad-hoc networks are communication networks that do not rely on fixed, preinstalled communication devices like base stations or predefined communication cells. This wireless networks consist of mobile nodes which are characterized by their decentralized organization and the potentially high dynamics of the network structure, therefore ad-hoc network communication system has been the focus in this multi-robot communication. The ad-hoc network has to provide position data to support localization of the mobile robots, which might be of great importance to guide the robots to specific targets and locations. Communications standards considered for the ad-hoc network are Wireless LAN, Bluetooth and ZigBee. In this project Bluetooth and ZigBee are integrated on robots for real experiments

Hexagonal structure hexapod robot: developing a method for omni-directional navigation

In this paper, we propose a method that allows a hexapod robot to navigate omni-directionally with hexagonal structure. Typical body structures for hexapod robot are analyzed. Hexapod robot frequently navigates various directions over variety of surfaces. To enable locomotion in rough surface, hexapod must be able to stably move in any direction. A comparative study, based on different model of hexapod for omni-directional navigation, concludes that the hexagonal hexapod robot can be able to navigate omni-directionally on the complex surface. Finally, a method is developed for omni-directional navigation of the hexapod robot

A proposed post-graduate biotechnology course curriculum at Bangabandhu Sheikh Mujib Medical University

Abstract not available Bangabandhu Sheikh Mujib Medical University Journal 2023;16(3): 172-17

Perceptions, views and opinions regarding the use of mnemonics in teaching-learning: An e-mail based survey among Bangladeshi anatomy teachers

Background: In anatomy, there are many ‘mnemonics’ available as memory devices. However, how teachers think about different aspects of these devices regarding teaching-learning has not been adequately addressed. This research aimed to determine the perceptions, views, and opinions of Bangladeshi anatomy teachers on the use of mnemonics. Methods: This descriptive cross-sectional study was conducted by the Department of Anatomy at Bangabandhu Sheikh Mujib Medical University, Dhaka, from 2017 to 2018. The research involved a self administered survey via e-mail using Google Forms among 63 Bangladeshi anatomy teachers with a post-graduation in anatomy and at least five years of teaching experience. Responses were collected through pre-designed multiple-choice questions, allowing for single or multiple selection and open-ended questions to explore their perceptions, views, and opinions on seven aspects of using mnemonics. Results: Around 83% of teachers agreed that mnemonics would help effectively memorise anatomical information. Most believed that mnemonic techniques such as ‘Acrostic’ and ‘Rhyme’ would be more effective than ‘Acronym’ and ‘Storytelling’. More than 50% felt that Bangla mnemonics would be more effective than English ones. In teaching anatomy, around 85% preferred to explain a topic first and then introduce the mnemonic. Moreover, half suggested that available English mnemonics could be modified into Bangla to better align with students' understanding levels and cultural context. Conclusions: Most participants indicated ‘Acrostic’ and ‘Rhyme’ were more effective than ‘Acronym’ and ‘Storytelling’. A common view was that modifying English mnemonics to Bangla would yield better results

A novel algorithm for modeling and mapping of 3D terrain in autonomous reconnaissance

A new algorithm for undertaking three-dimensional (3D) terrain mapping in autonomous reconnaissance has been presented in this paper. The novel algorithm generates 3D discrete terrain data that is acquired from terrain surface using inertial sensors. The algorithm uses fractal interpolation to generate 3D terrain surface. This algorithm can be implemented in reconnaissance mission for building 3D map unknown surfaces without using light

Design of a profilograph for mapping pavement in virtual environment

In this paper, a novel profilograph has been designed and implemented to generate virtual terrain. Profilograph is necessary for civil engineering applications to map pavement smoothness. Traditional profilographs are big in size and take long time for mapping, although they are capable of generating pavement map but unable to show 3D graph. The profilograph proposed in this paper is able to map pavement smoothness faster as well as show 3D graphs of the pavement. This profilograph consists of two subsystems. The first subsystem is a hardware system designed using rate gyros and accelerometers with some wireless communicating module. Another subsystem is the software system developed using OpenGL with supported of C++ and Visual Basic. This software can be connected with the hardware system either using wire or using wireless. The hardware system while driven on the pavement stores the data of the terrain into the database. The software generates 3D graphs of the navigated terrain. This profilograph can be used not only in civil engineering pavement mapping but also in mapping disaster scenario for disaster rescue missions

A novel navigation algorithm for collaborative multi robots

Robots are playing an increasingly more important role as the technology is maturing. Robots are omnipresent; numerous robots committed to a single task will become ordinary. Multi-agent robots are capable of handling problems in many different ways than individuals while achieving higher levels of performance. But present unique challenges for developing collaborative navigation algorithm and coordination among themselves are not sufficient for autonomous collaborative tasks. Some research papers based on collaborative robots have been reviewed in this paper; from review analysis we have developed an algorithm with behavioral based distributed knowledge of multi-agents for accomplishing collaborative navigation. The goal of multi-agent robots is to move as a cohesive team by sharing their distributed learning behaviors and navigating in autonomous reconnaissance missions. Finally some preliminary experimental results will be presented of the developed collaborative navigation algorithm between robots to reach the target and achieve their goal sharing their knowledge.

A novel navigation algorithm for hexagonal hexapod robot

Problem statement: Wheeled robots are not very well suited for navigation over uneven terrains. Hexapod robots have some advantages over wheeled robots when negotiating and navigating on rugged terrain. Approach: Different gaits of hexapods can be developed for different kinds of locomotion and obstacle avoidance. Results: In this research a novel algorithm has been developed for hexapod robots navigation. Conclusion: Implementation of the developed algorithm on a hexapod prototype showed desirable performance in terms of stable navigation with simultaneous gait transition over different terrains