{"title":"Air-Jet Levitation of Continuum Robots: Stable Head Floating by Passive Thrust Vectoring for Enhancing Mobility","authors":"Yuichi Ambe, Shuta Kamio, Yu Yamauchi, Masashi Konyo, Kenjiro Tadakuma, Shigenao Maruyama, Satoshi Tadokoro","doi":"10.1007/s10846-023-01964-6","DOIUrl":"https://doi.org/10.1007/s10846-023-01964-6","url":null,"abstract":"Abstract Flexible, continuum-type robots can access narrow spaces in debris areas during search-and-rescue missions. However, their current problem is the lifting capability of the head, which is necessary to surmount the rubble. This study proposes a passive-thrust vectoring method to stabilize head levitation for air-jet-actuated, long, continuum robots, and thus enhance their step-climbing abilities. An air jet can generate a thrust force that is sufficient for head levitation. A critical issue in levitation involves the backward bending of the head without using any air-jet control; however, thrust control is inappropriate because of the delay caused by the long channel. Therefore, the proposed method maintains the thrust direction constant. Sufficient conditions for global stability are derived and confirmed via dynamic simulations. The proposed method is simple and can be mechanically realized with a passive head-bending mechanism, thus contributing to a lightweight design. Experiments demonstrated that the developed air-floating-type, 7-m long robot, can achieve stabilized head levitation, and that the robot can climb a step with a height of 250 mm. Robot demonstrations in rubble justify the robot’s capacity to surmount the rubble. This passive-thrust vectoring method is expected to contribute to the future enhancement of the mobility of continuum robots owing to its simplicity and practicality.","PeriodicalId":404612,"journal":{"name":"Journal of Intelligent and Robotic Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136336586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vignesh Kottayam Viswanathan, Björn Lindqvist, Sumeet Gajanan Satpute, Christoforos Kanellakis, George Nikolakopoulos
{"title":"Towards Visual Inspection of Distributed and Irregular Structures: A Unified Autonomy Approach","authors":"Vignesh Kottayam Viswanathan, Björn Lindqvist, Sumeet Gajanan Satpute, Christoforos Kanellakis, George Nikolakopoulos","doi":"10.1007/s10846-023-01961-9","DOIUrl":"https://doi.org/10.1007/s10846-023-01961-9","url":null,"abstract":"Abstract This paper highlights the significance of maintaining and enhancing situational awareness in Urban Search and Rescue (USAR) missions. It focuses specifically on investigating the capabilities of Unmanned Aerial Vehicles (UAV) equipped with limited sensing capabilities and onboard computational resources to perform visual inspections of apriori unknown fractured and collapsed structures in unfamiliar environments. The proposed approach, referred to as First Look Inspect-Explore (FLIE), employs a flexible bifurcated behavior tree that leverages real-time RGB image and depth cloud data. By employing a recursive and reactive synthesis of safe view pose within the inspection module, FLIE incorporates a novel active visual guidance scheme for identifying previously inspected surfaces. Furthermore, the integration of a tiered hierarchical exploration module with the visual guidance system enables the UAV to navigate towards new and unexplored structures without relying on a map. This decoupling reduces memory overhead and computational effort by eliminating the need to plan based on an incrementally built, error-prone global map. The proposed autonomy is extensively evaluated through simulation and experimental verification under various scenarios and compared against state-of-art approaches, demonstrating its performance and effectiveness.","PeriodicalId":404612,"journal":{"name":"Journal of Intelligent and Robotic Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135477588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sverre Velten Rothmund, Christoph Alexander Thieme, Ingrid Bouwer Utne, Tor Arne Johansen
{"title":"A Bayesian Approach to Risk-Based Autonomy, with Applications to Contact-Based Drone Inspections","authors":"Sverre Velten Rothmund, Christoph Alexander Thieme, Ingrid Bouwer Utne, Tor Arne Johansen","doi":"10.1007/s10846-023-01934-y","DOIUrl":"https://doi.org/10.1007/s10846-023-01934-y","url":null,"abstract":"Abstract Enabling higher levels of autonomy while ensuring safety requires an increased ability to identify and handle internal faults and unforeseen changes in the environment. This article presents an approach to improve this ability for a robotic system executing a series of independent tasks by using a dynamic decision network (DDN). A simulation case study of an industrial inspection drone performing contact-based inspection is used to demonstrate the capabilities of the resulting system. The case study demonstrates that the system is able to infer the presence of internal faults and the state of the environment by fusing information over time. This information is used to make risk-informed decisions enabling the system to proactively avoid failure and to minimize the consequence of faults. Lastly, the case study demonstrates that evaluating past states with new information enables the system to identify and counteract previous sub-optimal actions.","PeriodicalId":404612,"journal":{"name":"Journal of Intelligent and Robotic Systems","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134886157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SQ-SLAM: Monocular Semantic SLAM Based on Superquadric Object Representation","authors":"Xiao Han, Lu Yang","doi":"10.1007/s10846-023-01960-w","DOIUrl":"https://doi.org/10.1007/s10846-023-01960-w","url":null,"abstract":"","PeriodicalId":404612,"journal":{"name":"Journal of Intelligent and Robotic Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136060453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fabio Stroppa, Mario Selvaggio, Nathaniel Agharese, Ming Luo, Laura H. Blumenschein, Elliot W. Hawkes, Allison M. Okamura
{"title":"Shared-Control Teleoperation Paradigms on a Soft-Growing Robot Manipulator","authors":"Fabio Stroppa, Mario Selvaggio, Nathaniel Agharese, Ming Luo, Laura H. Blumenschein, Elliot W. Hawkes, Allison M. Okamura","doi":"10.1007/s10846-023-01919-x","DOIUrl":"https://doi.org/10.1007/s10846-023-01919-x","url":null,"abstract":"","PeriodicalId":404612,"journal":{"name":"Journal of Intelligent and Robotic Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136010808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan Díaz-Téllez, J. Fermi Guerrero-Castellanos, Florian Pouthier, Nicolas Marchand, Sylvain Durand
{"title":"In-Ground-Effect Disturbance-Rejection Altitude Control for Multi-Rotor UAVs","authors":"Juan Díaz-Téllez, J. Fermi Guerrero-Castellanos, Florian Pouthier, Nicolas Marchand, Sylvain Durand","doi":"10.1007/s10846-023-01958-4","DOIUrl":"https://doi.org/10.1007/s10846-023-01958-4","url":null,"abstract":"","PeriodicalId":404612,"journal":{"name":"Journal of Intelligent and Robotic Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136152602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ana Carolina Queiroz, Alex Vieira, Heder Bernardino
{"title":"Solving Multi-Agent Pickup and Delivery Problems using Multiobjective Optimization","authors":"Ana Carolina Queiroz, Alex Vieira, Heder Bernardino","doi":"10.1007/s10846-023-01951-x","DOIUrl":"https://doi.org/10.1007/s10846-023-01951-x","url":null,"abstract":"","PeriodicalId":404612,"journal":{"name":"Journal of Intelligent and Robotic Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136308944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Auction-Based Task Allocation and Motion Planning for Multi-Robot Systems with Human Supervision","authors":"Giada Galati, Stefano Primatesta, Alessandro Rizzo","doi":"10.1007/s10846-023-01935-x","DOIUrl":"https://doi.org/10.1007/s10846-023-01935-x","url":null,"abstract":"Abstract This paper presents a task allocation strategy for a multi-robot system with a human supervisor. The multi-robot system consists of a team of heterogeneous robots with different capabilities that operate in a dynamic scenario that can change in the robots’ capabilities or in the operational requirements. The human supervisor can intervene in the operation scenario by approving the final plan before its execution or forcing a robot to execute a specific task. The proposed task allocation strategy leverages an auction-based method in combination with a sampling-based multi-goal motion planning. The latter is used to evaluate the costs of execution of tasks based on realistic features of paths. The proposed architecture enables the allocation of tasks accounting for priorities and precedence constraints, as well as the quick re-allocation of tasks after a dynamic perturbation occurs –a crucial feature when the human supervisor preempts the outcome of the algorithm and makes manual adjustments. An extensive simulation campaign in a rescue scenario validates our approach in dynamic scenarios comprising a sensor failure of a robot, a total failure of a robot, and a human-driven re-allocation. We highlight the benefits of the proposed multi-goal strategy by comparing it with single-goal motion planning strategies at the state of the art. Finally, we provide evidence for the system efficiency by demonstrating the powerful synergistic combination of the auction-based allocation and the multi-goal motion planning approach.","PeriodicalId":404612,"journal":{"name":"Journal of Intelligent and Robotic Systems","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135307976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}