tag:blogger.com,1999:blog-17644478.post114441461892596724..comments2024-01-19T18:40:32.771+08:00Comments on Robots - Because humans deserve better.: Robolobster - Military tools for land and sea operationsVadakkepathttp://www.blogger.com/profile/11146644521791041552noreply@blogger.comBlogger5125tag:blogger.com,1999:blog-17644478.post-1144654264850365192006-04-10T15:31:00.000+08:002006-04-10T15:31:00.000+08:00U0205239 Wang WeiweiI guess in order to get a sens...U0205239 Wang Weiwei<BR/><BR/>I guess in order to get a sensor for smell, we need to go back to biology and study animals; how they (or we) get to differentiate smells. Smell is a property of very small partical, it can be detected and send to nerons and then processed as the information about smell. I think such task can be done by sensors. For instance, the smoke detector. If the sensor can detect smoke particals, I think there should be devices that can detect small particals that contain smell, and through programming, various smells can be differenciated.Industryhttps://www.blogger.com/profile/07147514266441490746noreply@blogger.comtag:blogger.com,1999:blog-17644478.post-1144598280097035112006-04-09T23:58:00.000+08:002006-04-09T23:58:00.000+08:00U0205319 Tuo XianeIt is true that we can solve rea...U0205319 Tuo Xiane<BR/>It is true that we can solve real world problems by dissecting animal intelligence and use this kind of knowledge to design and program autonomous machines with similar superhuman capabilities, however, the superhuman capability of lobster is their sharp sense of smell, but how can we design a machine to have sharpe sense of smell? What sensors can detect smell?Assistivehttps://www.blogger.com/profile/02006065314130625352noreply@blogger.comtag:blogger.com,1999:blog-17644478.post-1144598188184021162006-04-09T23:56:00.000+08:002006-04-09T23:56:00.000+08:00This comment has been removed by a blog administrator.Assistivehttps://www.blogger.com/profile/02006065314130625352noreply@blogger.comtag:blogger.com,1999:blog-17644478.post-1144558471590297052006-04-09T12:54:00.000+08:002006-04-09T12:54:00.000+08:00U0204570 Tang Shao QiangThe Robolobster is a rathe...U0204570 Tang Shao Qiang<BR/><BR/>The Robolobster is a rather challenging machine to control. Algorithms for automated response to external environment will be comlex, given the large number of limbs. As much locomotive flexibility is required (for wriggling out of tight spots), each limb could be associated with an individual program module, so that all the limbs can coordinate their movements with one another to achieve the required complex and varied motions. There could be sensors located at every limb to send feedbacks to a central controller module for coordination. Hence, each limb acts as a member of the distributed autonomous system.Medicalhttps://www.blogger.com/profile/05113871826661688545noreply@blogger.comtag:blogger.com,1999:blog-17644478.post-1144417907706544792006-04-07T21:51:00.000+08:002006-04-07T21:51:00.000+08:00u0307999ZHAI NINGI want to analyse this robotics w...u0307999<BR/>ZHAI NING<BR/><BR/>I want to analyse this robotics with the purpose to better understand the content presented in our lecture notes:<BR/><BR/>1. Locomotion: it is very obvious that this robotics use the legged locomotion system. this is selected with the aim of traversing in the seabed which is a very complex terrain. Thus a legged locomotion can out-perform a wheeled one because it provides more ways to overcome obstacles.<BR/><BR/>2. Sensory inputs and Sensory fusion: as we have been taught in the lecture, the ability of a mobile robotic in sensing its environment is fraught with difficulties: the environment is too dynimic, complex to predict and changes too quickly (e.g. tide); uncertainties are a big problem in the sea. So how the lobster can sense its environment is really a big challenge. From the article, we see that "The RoboLobster have sensors that would detect metal, chemicals and explosive objects of other underwater vehicles during their land and underwater operation. A video camera has been used before in the prototype testing and has been proved to be successful but the limitation of this capability is that its effectiveness depends on the availability of the light". we can see although there are more than one sense, but it still a problem here. How can we relate the sensor data from the two sources so that to get a reliable output? we learned two approaches: supra-feature-vectors and features from individual sensors classified first. i think this robotic use neither. <BR/>3. Planning problems: it seems that the robotics goes in a random way and it is very hard to be informed of the real-time position. I think it is not a clever way to do since in the sea water condition, it is very likely that you cannot track the robotics. Thus a way to let it tell the server where it is is a big advantage point.<BR/><BR/>It is really a promising technology and we hope as improvements are achieved in the following years, we can have a reliable robotic to work in the extreme conditions.Securityhttps://www.blogger.com/profile/16693455710733429565noreply@blogger.com