Uploaded May 2018 | Updated September 2026, 2 weeks ago
ICRA 2018 Spotlight Video
Interactive Session Wed PM Pod Q.8
Authors: LEBORNE, François; CREUZE, Vincent; Chemori, Ahmed; Brignone, Lorenzo
Title: Dynamic Modeling and Identification of an Heterogeneously Actuated Underwater Manipulator Arm
Abstract:
This paper deals with the dynamic modeling and identification of an electrically driven underwater robot manipulator. The proposed study includes the dynamic modeling of the actuators of the arm as well as the identification of the parameters of the model. The proposed method deals with the specific case of heterogeneously actuated arms, namely arms with actuators behaving differently for each joint, being considered at the kinematic level. Indeed, we show how to estimate the arms parameters when some of their revolute joints are directly actuated by geared motors, while the others are actuated by linear actuators. A minimum set of identifiable parameters is determined, and adequate excitation trajectories are generated and used in the identification procedure. Real-time experimental validation on the manipulator arms of Ifremers HROV (Hybrid Remotely Operated Vehicle) Ariane underwater vehicle demonstrates that the proposed method improves the estimation of the dynamic model.
ICRA 2018 Spotlight Video
Interactive Session Wed PM Pod Q.8
Authors: LEBORNE, François; CREUZE, Vincent; Chemori, Ahmed; Brignone, Lorenzo
Title: Dynamic Modeling and Identification of an Heterogeneously Actuated Underwater Manipulator Arm
Abstract:
This paper deals with the dynamic modeling and identification of an electrically driven underwater robot manipulator. The proposed study includes the dynamic modeling of the actuators of the arm as well as the identification of the parameters of the model. The proposed method deals with the specific case of heterogeneously actuated arms, namely arms with actuators behaving differently for each joint, being considered at the kinematic level. Indeed, we show how to estimate the arms parameters when some of their revolute joints are directly actuated by geared motors, while the others are actuated by linear actuators. A minimum set of identifiable parameters is determined, and adequate excitation trajectories are generated and used in the identification procedure. Real-time experimental validation on the manipulator arms of Ifremers HROV (Hybrid Remotely Operated Vehicle) Ariane underwater vehicle demonstrates that the proposed method improves the estimation of the dynamic model.



![Real-Time CPU-Based Large-Scale 3D Mesh Reconstruction
ICRA 2018 Spotlight Video
Interactive Session Thu AM Pod R.1
Authors: Piazza, Enrico; Romanoni, Andrea; Matteucci, Matteo
Title: Real-Time CPU-Based Large-Scale 3D Mesh Reconstruction
Abstract:
In Robotics, especially in this era of autonomous driving, mapping is one key ability of a robot to be able to navigate through an environment, localize on it and analyze its traversability.To allow for real-time execution on constrained hardware, the map usually estimated by feature-based or semi-dense SLAM algorithms is a sparse point cloud; a richer and more complete representation of the environment is desirable. Existing dense mapping algorithms require extensive use of GPU computing and they hardly scale to large environments; incremental algorithms from sparse points still represent an effective solution when light computational effort is needed and big sequences have to be processed in real-time. In this paper we improved and extended the state of the art incremental manifold mesh algorithm proposed in [1] and extended in [2]. While these algorithms do not achieve real-time and they embed points from SLAM or Structure from Motion only when their position is fixed, in this paper we propose the first incremental algorithm able to reconstruct a manifold mesh in real-time through single core CPU processing which is also able to modify the mesh according to 3D points updates from the underlying SLAM algorithm. We tested our algorithm against two state of the art incremental mesh mapping systems on the KITTI dataset, and we showed that, while accuracy is comparable, our approach is able to reach real-time performances thanks to an order of magnitude speed-up. Real-Time CPU-Based Large-Scale 3D Mesh Reconstruction](https://i.ytimg.com/vi/VaLx6Klz13Y/mqdefault.jpg)






![On Bisection Continuous Collision Checking Method: Spherical Joints and Minimum Distance to Obstacle
ICRA 2018 Spotlight Video
Interactive Session Thu PM Pod R.3
Authors: TARBOURIECH, Sonny; Suleiman, Wael
Title: On Bisection Continuous Collision Checking Method: Spherical Joints and Minimum Distance to Obstacles
Abstract:
In this paper, we adapt the Continuous Collision Checking Detection (CCD) method proposed in [1] to efficiently handle the case of spherical and two revolute joints, this kind of joints is very common in modern robotic systems. The new formulations provide more tight motion bounds, thus increase the success rate of checking collision-free paths. We also propose an extension to get the minimum distance to obstacles along a path, this information is primordial as it allows sampling-based motion planning techniques to sort collision-free paths according to their minimum clearance. We have integrated our implementation into a sampling-based motion planning technique and validated it through simulation and on the real Baxter research robot. The experiments revealed that the method not only does not miss any collision between the robot and the obstacles, but also the minimum distance extension provides the path with the maximum clearance at no additional computational cost. On Bisection Continuous Collision Checking Method: Spherical Joints and Minimum Distance to Obstacle](https://i.ytimg.com/vi/XYwj53x-35E/mqdefault.jpg)