Modelling of a Soft Sensor for Exteroception and Proprioception in a Pneumatically Actuated Soft Robot (Abu Bakar Dawood, Hareesh Godaba, Kaspar Althoefer).Pages 99-110 Soft Particles for Granular Jamming (Fabrizio Putzu, Jelizaveta Konstantinova, Kaspar Althoefer).Pages 65-74Ī K-Nearest Neighbours Based Inverse Sensor Model for Occupancy Mapping (Yu Miao, Ioannis Georgilas, Alan Hunter).Pages 75-86Įlastomer-Based Touch Sensor: Visualization of Tactile Pressure Distribution (Wanlin Li, Jelizaveta Konstantinova, Akram Alomainy, Kaspar Althoefer).Pages 87-98 GarmNet: Improving Global with Local Perception for Robotic Laundry Folding (Daniel Fernandes Gomes, Shan Luo, Luis F. Robotic-Assisted Ultrasound for Fetal Imaging: Evolution from Single-Arm to Dual-Arm System (Shuangyi Wang, James Housden, Yohan Noh, Davinder Singh, Anisha Singh, Emily Skelton et al.).Pages 27-38Įduardo: A Low Cost Assistive Robot Development Platform, Featuring a Compliant End Effector (Oliver Smith, Samuel White, Martin Stoelen).Pages 39-48 LibRob: An Autonomous Assistive Librarian (Costanza Di Veroli, Cao An Le, Thibaud Lemaire, Eliot Makabu, Abdullahi Nur, Vincent Ooi et al.).Pages 15-26 NEW!!! In these three clips, a P300-based BCI is used to drive the robot with the single step, hybrid (i.e., single step and semi-autonomous), and autonomous navigation modes.An Augmented Reality Environment to Provide Visual Feedback to Amputees During sEMG Data Acquisitions (Francesca Palermo, Matteo Cognolato, Ivan Eggel, Manfredo Atzori, Henning Müller).Pages 3-14

The experiment is also shown in the clip. The video stream fed back by the robot camera during Robot accomplishes a simple domestic task by using all three ASPICE Robot is driven in semi-autonomous mode: a simple forward motion This clip, which accompanied the ICRA'07 paper, summarizes the system most interesting features. Processing images acquired by AIBO CMOS camera in varying lightĮxperiment 4 ( clip) is a typical experiment where the system is tested by using a mu-based Brain-Computer Interface (BCI) to drive the robot. Identifies the crossing, turns and proceeds towards the goal according The roadmap and follows it up to the first crossing the robot then In experiments 1 ( clip) and 2 ( clip) the robot is driven in semi-autonomous mode: it avoids obstacles while performing respectively forward and lateral motion. Validation, in order to assess its performance through patient The multimode navigation module) is currently under clinical Semi-autonomous navigation module was able to accomplish the task in The line joining the initial and final configurations. (indicated by a red arrow) by giving a single direction command along Where the user tries to drive AIBO to a point in the environment This clip shows a simulation realized within Webots, The First International Workshop on Robot Vision, VISAPP'07. A detailed description of the ASPICE vision-based navigation mode is given in this paper presented at More details on the robot navigation system are given in this paper presented at ICRA'07. Macrì).įor a quick introduction to the ASPICE project, see this paper presented at BIOROB'06. The proposed approach has been developed by A. GUI for vocal requests, which has been included to improve theĬommunication of the patient with the caregiver. To allow the user to directly move the robot head and point theĬamera in any desired direction. A GUI for head control has also been developed Increasing his/her sense of presence within the environment. Roadmap crossings are identified by means of a simpleįrom the robot camera is fed back to the user for assisting him/her in driving the robot as well as for Visual roadmap, which is first approached and then followed up to theĭestination. Finally, in autonomous mode, the user directly assigns a Local occupancy grid built using measures from the AIBO head To this end, artificial velocity fields are defined on a Leaving to the robot the task of avoiding obstacles along thatĭirection. Navigation, the user simply specifies a main direction of motion, The user is expected to choose single-step navigationįor retaining complete control of the robot. Group developed the navigation system for the robot, which can beĭriven in three modes, namely: single-step, semi-autonomous, andĪutonomous mode.

Home-installed appliances, including a Sony AIBO mobile robot. Within the surrounding environment by remotely controlling a set of Neuromotor-disabled users to improve their mobility and communication Is aimed at the development of a technological aid which allows The ASPICE project, funded by the italian foundation Telethon, A robot navigation system for assisting individuals with motor disabilitiesĪrea where robotic devices can be used to help individuals with motorĭisabilities achieve independence in daily living activities.

Webots modular robot biorob