Skip to content

Commit

Permalink
Other minors
Browse files Browse the repository at this point in the history
  • Loading branch information
gsilano committed Sep 24, 2023
1 parent a60970d commit 5e4f81a
Showing 1 changed file with 3 additions and 3 deletions.
6 changes: 3 additions & 3 deletions _bibliography/refs.bib
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ @INPROCEEDINGS{Silano2023IROS_WS_I
pages = {1-5},
preprint = {publications/iros2023_hsi_ws.pdf},
note = {contribution accepted for discussion at the workshop session: "Human Multi-Robot Interaction Workshop", Detroit, Michigan, USA},
abstract = {This paper presents a formation control approach for contactless Human-Swarm Interaction (HSI) using hand gestures with a team of multi-rotor Unmanned Aerial Vehicles (UAVs). The approach aims to monitor the safety of human workers, especially those working at heights. In the proposed scheme, one UAV acts as the leader of the formation and is equipped with sensors for human worker detection and gesture recognition. The follower UAVs maintain a predetermined formation relative to the worker’s position, thereby providing additional perspectives of the monitored scene. The use of hand gestures allows the human worker to specify movements and action commands for the UAV team, without the need for an additional communication channel or specific markers including the relative distance. Field experiments with three UAVs and a human worker in a mock-up scenario showcase the effectiveness and responsiveness of the proposed approach.},
abstract = {This paper presents a formation control approach for contactless Human-Swarm Interaction (HSI) using hand gestures with a team of multi-rotor Unmanned Aerial Vehicles (UAVs). The approach aims to monitor the safety of human workers, especially those working at heights. In the proposed scheme, one UAV acts as the leader of the formation and is equipped with sensors for human worker detection and gesture recognition. The follower UAVs maintain a predetermined formation relative to the worker’s position, thereby providing additional perspectives of the monitored scene. The use of hand gestures allows the human worker to specify movements and action commands for the UAV team, without the need for an additional communication channel or specific markers including the relative distance. Field experiments with three UAVs and a human worker in a mock-up scenario showcase the effectiveness and responsiveness of the proposed approach.}
}

@INPROCEEDINGS{Silano2023IROS_WS_II,
Expand All @@ -23,7 +23,7 @@ @INPROCEEDINGS{Silano2023IROS_WS_II
doi = {10.48550/arXiv.2309.10406},
preprint = {publications/IROS_2023_WORKSHOP_STL_bird_diverter.pdf},
note = {contribution accepted for discussion at the workshop session: "Formal methods techniques in robotics systems: Design and control", Detroit, Michigan, USA},
abstract = {This paper tackles the task assignment and trajectory generation problem for bird diverter installation using a fleet of multi-rotors. The proposed motion planner considers payload capacity, recharging constraints, and utilizes Signal Temporal Logic (STL) specifications for encoding mission objectives and temporal requirements. An event-based replanning strategy is introduced to handle unexpected failures and ensure operational continuity. An energy minimization term is also employed to implicitly save multi-rotor flight time during installation. Simulations in MATLAB and Gazebo, as well as field experiments, demonstrate the effectiveness and validity of the approach in a mock-up scenario.},
abstract = {This paper tackles the task assignment and trajectory generation problem for bird diverter installation using a fleet of multi-rotors. The proposed motion planner considers payload capacity, recharging constraints, and utilizes Signal Temporal Logic (STL) specifications for encoding mission objectives and temporal requirements. An event-based replanning strategy is introduced to handle unexpected failures and ensure operational continuity. An energy minimization term is also employed to implicitly save multi-rotor flight time during installation. Simulations in MATLAB and Gazebo, as well as field experiments, demonstrate the effectiveness and validity of the approach in a mock-up scenario.}
}

@INPROCEEDINGS{Silano2023ICRA_WS_I,
Expand All @@ -38,7 +38,7 @@ @INPROCEEDINGS{Silano2023ICRA_WS_I
doi = {10.48550/arXiv.2306.02454},
preprint = {publications/ICRA_2023_Energy_Efficient_Aerial_Ro.pdf},
note = {contribution accepted for discussion at the workshop session: "Energy Efficient Aerial Robotic Systems", ExCeL, London, UK},
abstract = {This paper presents a method for designing energy-aware collaboration tasks between humans and robots, and generating corresponding trajectories to carry out those tasks. The method involves using high-level specifications expressed as Signal Temporal Logic (STL) specifications to automatically synthesize task assignments and trajectories. The focus is on a specific task where a Multi-Rotor Aerial Vehicle (MRAV) performs object handovers in a power line setting. The motion planner takes into account constraints such as payload capacity and refilling, while ensuring that the generated trajectories are feasible. The approach also allows users to specify robot behaviors that prioritize human comfort, including ergonomics and user preferences. The method is validated through numerical analyses in MATLAB and realistic Gazebo simulations in a mock-up scenario.},
abstract = {This paper presents a method for designing energy-aware collaboration tasks between humans and robots, and generating corresponding trajectories to carry out those tasks. The method involves using high-level specifications expressed as Signal Temporal Logic (STL) specifications to automatically synthesize task assignments and trajectories. The focus is on a specific task where a Multi-Rotor Aerial Vehicle (MRAV) performs object handovers in a power line setting. The motion planner takes into account constraints such as payload capacity and refilling, while ensuring that the generated trajectories are feasible. The approach also allows users to specify robot behaviors that prioritize human comfort, including ergonomics and user preferences. The method is validated through numerical analyses in MATLAB and realistic Gazebo simulations in a mock-up scenario.}
}

@ARTICLE{Silano2022BirdDiverter,
Expand Down

0 comments on commit 5e4f81a

Please sign in to comment.