Guest editorial: Special issue on new development of intelligent unmanned systems
Bibliographic record
Abstract
A collection of selected papers has been compiled in the Special Issue entitled "New Development on Intelligent Unmanned Systems".This Special Issue was based on the innovative ideas and the latest research results presented at the 17th International Conference on Intelligent Unmanned System (ICIUS 2021), held at the Ho Chi Minh City, Vietnam, during 25-27th August 2021.ICIUS 2021, a well-established annual conference, was in its 17th event with a long time of conference track.The conference has been successful for many years in Seoul, Korea (2005Korea ( , 2006)), Bali, Indonesia (2007, 2010, 2015), Nanjing, China (2008), Jeju, Korea (2009, 2018), Chiba, Japan (2011), Singapore (2012), Jaipur, India (2013), Montreal, Canada (2014), Xi'an, China (2016), Tamsui, Taiwan (2017), and Beijing, China (2019).Since its start in 2005, ICIUS has become a well-established annual conference which addresses the rapidly developing field of intelligent unmanned systems (including Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), Unmanned Surface Vehicles (USVs), and Unmanned Underwater Vehicles (UUVs), etc.), robotics, automation, intelligent systems, biomimetics, control and computation while providing participants and attendees insight into the paths ahead for fundamental research, system development and technology deployment around the world.This special issue aims to serve as a forum to exchange knowledge and disseminate the selected papers to broader audience about the new development and innovative applications of all types of unmanned systems, payload and accompanying systems.In this special issue, seven papers that highlight the originality and new contribution in the area of intelligent unmanned systems were selected.The papers have been arranged according to the topics of interest of the ICIUS 2021.A brief introduction for this special issue is summarized as follows.The first paper is entitled Development of a novel V-frame octocopter: design, kinematic analysis and simulation using PID controllers with Ziegler Nichols tuning method, authored by Minh, T.B., Vo, H. and Hua, L.T.The study proposes a new platform of the V-frame octocopter kinematics analysis, designed on the CAD software.FEM analysis was presented for some important mechanical parts to find the highest stress and displacement under high load applied.In addition, the paper has shown V-frame octocopter simulation based on Simulink using the second method Ziegler-Nichols to find suitable parameters of the PID controller for roll and pitch angle.It is concluded that the block simulation is feasible for implementation and fast for checking the new algorithm when building the new platform of the robot.The V-frame octocopter is found to have better performance scores including high redundancy rotors, high payload capability and affordable cost than another multi-copter family.With the multi-function capabilities, humanoid robots nowadays have been served in many fields such as medical, construction, and disaster response.The paper entitled State observer-based model reference adaptive balance control for one-leg stance by Tran, T.D., Duong, V.T., Nguyen, H.H. and Nguyen, T.T. proposes a novel approach to address the challenging problem of one-leg balancing task.By inserting an external balance mechanism to the back of the humanoid robot, it is suggested to support the balance of one leg in humanoid robot.This can be achieved as not only is the sideway balancing task separated Guest editorial 317
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.048 | 0.022 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".