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Regular Human Workshop is 2D physics simulation sandbox game developed by Michael Swain. There are no predefined goals or objectives. Players can simply throw objects into world and interact with them in various ways. The Regular Human Workshop play features ragdolls that simulate human body. These ragdolls can balance themselves on two feet, walk, sit, squat or turn into pile of guts by being stabbed, shot, burned, beaten or torn to pieces. These ragdolls also have lifelike characteristics including breathing, awareness, pain perception.

You only put stuff into environment and engage with them in a variety of ways; there is no discernible purpose or goal. Ragdoll simulator is highly lifelike and enables you to do a variety of actions on them, such as making them walk, sit, crouch, or convert into a pile of intestines by stabbing, shooting, burning, or beating them to death. Attention to detail is amazing, it really makes you feel like you are in control of real human body. The blood circulation and consciousness features are particularly impressive, sensation of pain is quite realistic. In the end, get Regular Human Workshop for free is an extremely fun and addictive game that I would highly recommend to anyone looking for unique and challenging experience.

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The proliferation of smart devices, mobile applications, and IoT systems in our daily lives has created significant opportunities for a more efficient, productive, healthy, and sustainable society centered in short and long term human needs. To translate those opportunities into reality, we have seen increasing research attention from a number of disciplines. As human activity, behavior, and user experience become important factors in smart services and mobile applications, the research will bring a new focus on human-centered sensing, networking, and systems.The HumanSys workshop is intended to bring together researchers, developers, and practitioners in related fields from academia, industry, and service providers, to share idea and experience related to human-centered technologies and applications. We are also interested in work that tries to understand the implications of human and user-centered focus on system design. For example, traditional hardware or software optimizations in memory, speed, and form-factor may no longer be sufficient for a system to be successful.Both visionary white papers and technical papers are encouraged. To that end, papers are solicited from all related areas, including, but not limited to the following topics:

Join us with author Eileen Dong at the South Regional Library for an informative and eye-opening workshop This program aims to raise awareness about the dangers of human trafficking and equip attendees with the knowledge and skills to combat this heinous crime.

The Human Support Robot (HSR) discussed in this paper is a domestic mobile manipulator robot which holds both functions of physical work and communication [2, 3], and we aim to establish HSR Developers Community as a strong network between various research institutes with sharing the same robot platform in order to accelerate the research and development of a domestic mobile manipulator (Fig. 1).

As of the beginning of July 2012, the number of service dogs was only 59 (66 as of October, 2018) in Japan, which was not sufficient for latent demand [18]. One of the reasons is that the owners must be capable of caring for service dogs, such as feeding and treating feces. They are not necessarily easy work for people with disabilities. If the care for a dog is physically difficult or not preferred, there is the possibility that a small mobile manipulator with autonomous and remote control function could be substituted.

As our first trial, our goal was to realize tasks with robots only for indoors, considering technical difficulty. As for emergency support, we expected that we could deal with it by attaching devices such as camera, sensor and wireless. In response to picking and retrieving in a house , we decided to develop a compact and safe mobile manipulator.

To study it, we made a prototype with a 7 degrees-of-freedom (DoF) arm and a mobile base, based on differential drive in 2012 and gathered opinions from target users and experts as described in [19] (Fig. 6). As stated in the paper above, we got 33 comments from two subjects with disabilities in the limbs. These comments could be mainly divided into opinions related to robot software or HMI and opinions related to mechanical design. Taking into account the next hardware design, we applied the opinions connected with mechanical design. The related comments described in [19] are extracted and described below.

For the new simpler design, we tried to change from the 7 DoF arm with a differential drive type mobile base to a less capable 4 DoF arm with an omnidirectional mobile base. We first made a mock-up and evaluated the function of the hardware by manipulating it remotely (Fig. 7).

The robot as a whole has 8 DoF for manipulation, comprised of the 3 DoF of the mobile base, 4 DoF of the arm, and 1 DoF of the torso lift. Thus, it is possible to generate flexible movement by moving the mobile base and the arm together. We developed a novel whole-body motion control method making better use of the configuration of this robot for coordination between transportation movement and the grasping operation as described later.

As mentioned in [31], this method precludes problems such as vibration, low-load capacity, and the over-constraint, in contrast to other omnidirectional mechanisms using special wheels such as [32, 33]. Less vibration and less entanglement of electric cables are excellent characteristics for a mobile manipulator for home use. HSR is able to position its end effector by combining its omnidirectional base, 4 DoF from its arm, and 1 DoF from its torso lift.

The following describes the extension of CBiRRT2. In an omnidirectional mobile manipulation system, there are two different types of demands for motion planning. One is to move the hand accurately to a goal, and the other is to exert a large force on objects. In order to reach a goal accurately, it is effective to move the hand as much as possible while limiting the motion of the mobile base. On the other hand, to exert a large force, it is effective to prioritize the motion of the mobile base.

When using the movement of the mobile base as part of the degrees of freedom for positioning the hand, it is necessary to ensure sufficient movement accuracy of the mobile base. Since dead reckoning using an encoder attached to the motor did not obtain sufficient accuracy, we adopted laser odometry [44] using LIDAR and measured the accuracy. When laser odometry is used, accuracy may be maintained even if slip exists between the wheel and the ground.

We developed promising tasks built around Fetch and Carry (bring an object as commanded by the user) and Tidy-Up as home mobile manipulator tasks, and tested the performance of the HSR. The study was conducted in a test environment that mimics a 2-bedroom apartment. Both furniture and environmental information were given in advance, AR markers were used for furniture recognition, and only the target object was recognized without the markers. Figure 21 shows an example of the Fetch and Carry task. This example was set up such that the robot received a voice instruction from the user, who was sitting on the bed in the bedroom. The instruction was to go take the drink in the plastic bottle from the shelves in the next room and hand it to the user. There was a closed door between the bedroom and the next room, and the robot was required to recognize the door and open it. Figure 22 shows the task of tidying up the floor and the task of tidying up the table. On the floor tidying-up task, there were an average of three trash items over the area of 1.5 1.5 m, and the goal was to put them in the basket at a designated place. The goal of cleaning up the table was to put all 6 household items on the dining table into the basket located next to the table. As a result of the experiment, the robot was able to autonomously complete all of the tasks described above. This confirmed that HSR possessed sufficient capacity to handle those tasks.

In 2018, RoboCup was held in Montreal. As shown in Fig. 28, total points for GPSR of DSPL increased. The increase in the number of experiences of the DSPL teams is estimated to be the reason. In addition, the result of Storing Groceries in Fig. 29 shows that DSPL was still better than OPL. These results suggest that HSR has potential performance as a home mobile manipulator.

The design of HSR is still under active development and we will improve it by continually reflecting user requests. Together with research activities, we are carrying out various field experiments in actual environments (Fig. 30). We believe that the cycle of researches and field experiments is essential to realize the domestic mobile manipulator. To achieve it, we will work with the HSR Developers Community.

The MobileHCI series started in 1998 as a stand-alone Workshop on Human Computer Interaction with Mobile Devices organized by Chris Johnson and held at the University of Glasgow.[5] In the following year the workshop was held in conjunction with the Interact conference and was organized by Stephen Brewster and Mark Dunlop. In 2001 MobileHCI was again organized by Brewster and Dunlop in association with a major conference. This was in conjunction with IHM-HCI in Lille, France.

MobileHCI 2009 was organised by Fraunhofer FIT and University of Siegen, in cooperation with ACM SIGCHI and ACM SIGMOBILE. The general chair was Prof. Dr. Reinhard Oppermann from Fraunhofer Society FIT, and the program chairs were Dr. Markus Eisenhauer, Prof. Dr. Matthias Jarke, and Prof. Dr. Volker Wulf. The 2009 prize for the most influential paper from ten years ago was awarded to Albrecht Schmidt for his paper Implicit human-computer interaction through context.[7] The acceptance rate was 24.2% for full papers and 18.5% for short papers.[8] 2351a5e196