logging in or signing up PhDSeminar Natalya Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 153 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 04, 2008 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript PhD Seminar inTeleoperation, Perception, & adjustable autonomy: How should we interact with robots?: PhD Seminar in Teleoperation, Perception, & adjustable autonomy: How should we interact with robots? Mike Lewis Spring Term 2003What Should Robots be like?: What Should Robots be like? Anthropomorphic? Conversational instructions? General purpose? Autonomous, unsupervised performance? Problem solving? Visual, tactile, proprioceptive, & auditory sensors? Three Ages of Robotics: Three Ages of Robotics Prehistory- 1980’s It’s all in the mind.. AI & planning will make smart robots work (STRIPS & Shakey) 1990’s It’s all in the environment..intelligence & usefulness will just emerge 2000’s It’s all in Human-Robot interaction.. If people and robots could just cooperate we could do great things together..Shakey’s World(1): Shakey’s World(1) The original STRIPS program was designed to control a robot called Shakey. Shakey was capable of moving, grabbing and pushing things, based on plans created by STRIPS. Knowledge Engineering in Planning Shakey’s world: Knowledge Engineering in Planning Shakey’s world Box4 Box3 Box2 Box1 Room1 Room2 Room3 Room4 Corridor Shakey Door1 Door2 Door3 Door4 ls4 ls3 ls2 ls1Slide6: Rodney Brook’s Insect Robots… Fast, Cheap & Out of ControlSlide7: One half of HRI is making people want to interact with robots.. Brooks’ COG responds to prosody and attempts to arouse affective responses & engage humans.. Ron Arkin & others have been advising Sony for Aibo (the dog) & their new humanoid robot..The other half is figuring out how they can cooperate in a way that is:: The other half is figuring out how they can cooperate in a way that is: Not completely controlled like an RC car Not completely autonomous like Shakey Domains I’m Interested in: Domains I’m Interested inSlide11: NIST Urban Search And Rescue reference tasksCommon Problems: Navigation: Common Problems: Navigation Navigation, context, & situation awareness become difficult when cues to distance, location, etc. are degraded by: narrow field of view absence of cues to depth and distance abrupt changes in field of view uncoupled to controlled motion such as turning a cornerCommon Problems: Perception: Common Problems: Perception Even significant objects may be difficult to recognize because: narrow field of view absence of cues to depth and distance Unusual/unexpected perspectives Degraded imagery because of nonvisual spectrum sensors, poor quality images, low light levels, etc. Following Examples from Robin Murphy’s Twin Towers TalkNeeded Image Processing and Object Recognition Technologies: Needed Image Processing and Object Recognition Technologies -tracks of previous robot run -a watch -3, possibly 4 victims (covered in dust, burned) - head, arm socket?, nose, perhaps fingers WTC 2, 9/18/01Robots Compared with SearchCams: Robots Compared with SearchCams SearchCams ~$10K, Robots ~$12K SearchCams reach up to 5 meters Robots reach up to 30 meters, averaged between 6 and 13 meters Robots can put light on the object, prod it, look at it from different angles Robots can go through more twisting tunnels SearchCams and small robots take <1.5 minutes to set up and insert helped to recognize remains of a body camera with zoom, lights couldn’t do thisState of Available Information: State of Available Information what viewpoints have already been explored example: boot? no one rewound tape far enough back to catch earlier viewpoint which disambiguated the object! Common Problems Autonomy: Common Problems Autonomy In both domains we would like to have many robots/person instead of the other way around (like it is today).. To do this we’d like to have robots & humans adjust to each other’s needs.. E.g. Adjustable AutonomySeminar Topics: Seminar Topics Navigation & situation awareness Egocentric/ exocentric/ & tethered views Augmented Reality (e.g. synthesizing info to help maintain SA) Wayfinding & suggested cues Perception Object recognition/attention direction Control of gaze/ perspective driven locomotion Topics (continued): Topics (continued) Delegation of authority & AA Robot cries for help & human roles in resolving impasses Control of multiple robots..Planned readings: Planned readings Sheridan, Thomas B. (1992). Telerobotics, Automation, and Human Supervisory Control, Cambridge, MA: MIT Press (old but topical) Ali, S. (1999) Multiagent Telerobotics: Matching Systems to Task, Ph.D. Dissertation, Georgia Tech Fong, T.W.(2001) Collaborative Control: A Robot-Centric Model for Vehicle Teleoperation doctoral dissertation, tech. report CMU-RI-TR-01-34, Robotics Institute, Carnegie Mellon University, November, Rogers, E. & Murphy, R. (2001) Final Report forDARPA/NSF Study on Human-Robot Interaction (http://www.aic.nrl.navy.mil/hri/nsfdarpa/) Musliner, D. & Pell, B. (1999) Agents with Adjustable Autonomy: Papers from 1999 AAAI Spring Symposium, AAAI Tech Report SS-99-06 The IJCAI-01 Workshop on Autonomy, Delegation, and Control: Interacting with Autonomous Agents (http://www.csce.uark.edu/~hexmoor/AA01/IJCAI01-cfp.htm) Project: Project Seminar participants will work with game-engine based simulation of USAR reference arenas we are developing to develop and test concepts for teleoperation and/or delegation in control of simulated robot(s) You do not have the permission to view this presentation. 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PhDSeminar Natalya Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 153 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 04, 2008 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript PhD Seminar inTeleoperation, Perception, & adjustable autonomy: How should we interact with robots?: PhD Seminar in Teleoperation, Perception, & adjustable autonomy: How should we interact with robots? Mike Lewis Spring Term 2003What Should Robots be like?: What Should Robots be like? Anthropomorphic? Conversational instructions? General purpose? Autonomous, unsupervised performance? Problem solving? Visual, tactile, proprioceptive, & auditory sensors? Three Ages of Robotics: Three Ages of Robotics Prehistory- 1980’s It’s all in the mind.. AI & planning will make smart robots work (STRIPS & Shakey) 1990’s It’s all in the environment..intelligence & usefulness will just emerge 2000’s It’s all in Human-Robot interaction.. If people and robots could just cooperate we could do great things together..Shakey’s World(1): Shakey’s World(1) The original STRIPS program was designed to control a robot called Shakey. Shakey was capable of moving, grabbing and pushing things, based on plans created by STRIPS. Knowledge Engineering in Planning Shakey’s world: Knowledge Engineering in Planning Shakey’s world Box4 Box3 Box2 Box1 Room1 Room2 Room3 Room4 Corridor Shakey Door1 Door2 Door3 Door4 ls4 ls3 ls2 ls1Slide6: Rodney Brook’s Insect Robots… Fast, Cheap & Out of ControlSlide7: One half of HRI is making people want to interact with robots.. Brooks’ COG responds to prosody and attempts to arouse affective responses & engage humans.. Ron Arkin & others have been advising Sony for Aibo (the dog) & their new humanoid robot..The other half is figuring out how they can cooperate in a way that is:: The other half is figuring out how they can cooperate in a way that is: Not completely controlled like an RC car Not completely autonomous like Shakey Domains I’m Interested in: Domains I’m Interested inSlide11: NIST Urban Search And Rescue reference tasksCommon Problems: Navigation: Common Problems: Navigation Navigation, context, & situation awareness become difficult when cues to distance, location, etc. are degraded by: narrow field of view absence of cues to depth and distance abrupt changes in field of view uncoupled to controlled motion such as turning a cornerCommon Problems: Perception: Common Problems: Perception Even significant objects may be difficult to recognize because: narrow field of view absence of cues to depth and distance Unusual/unexpected perspectives Degraded imagery because of nonvisual spectrum sensors, poor quality images, low light levels, etc. Following Examples from Robin Murphy’s Twin Towers TalkNeeded Image Processing and Object Recognition Technologies: Needed Image Processing and Object Recognition Technologies -tracks of previous robot run -a watch -3, possibly 4 victims (covered in dust, burned) - head, arm socket?, nose, perhaps fingers WTC 2, 9/18/01Robots Compared with SearchCams: Robots Compared with SearchCams SearchCams ~$10K, Robots ~$12K SearchCams reach up to 5 meters Robots reach up to 30 meters, averaged between 6 and 13 meters Robots can put light on the object, prod it, look at it from different angles Robots can go through more twisting tunnels SearchCams and small robots take <1.5 minutes to set up and insert helped to recognize remains of a body camera with zoom, lights couldn’t do thisState of Available Information: State of Available Information what viewpoints have already been explored example: boot? no one rewound tape far enough back to catch earlier viewpoint which disambiguated the object! Common Problems Autonomy: Common Problems Autonomy In both domains we would like to have many robots/person instead of the other way around (like it is today).. To do this we’d like to have robots & humans adjust to each other’s needs.. E.g. Adjustable AutonomySeminar Topics: Seminar Topics Navigation & situation awareness Egocentric/ exocentric/ & tethered views Augmented Reality (e.g. synthesizing info to help maintain SA) Wayfinding & suggested cues Perception Object recognition/attention direction Control of gaze/ perspective driven locomotion Topics (continued): Topics (continued) Delegation of authority & AA Robot cries for help & human roles in resolving impasses Control of multiple robots..Planned readings: Planned readings Sheridan, Thomas B. (1992). Telerobotics, Automation, and Human Supervisory Control, Cambridge, MA: MIT Press (old but topical) Ali, S. (1999) Multiagent Telerobotics: Matching Systems to Task, Ph.D. Dissertation, Georgia Tech Fong, T.W.(2001) Collaborative Control: A Robot-Centric Model for Vehicle Teleoperation doctoral dissertation, tech. report CMU-RI-TR-01-34, Robotics Institute, Carnegie Mellon University, November, Rogers, E. & Murphy, R. (2001) Final Report forDARPA/NSF Study on Human-Robot Interaction (http://www.aic.nrl.navy.mil/hri/nsfdarpa/) Musliner, D. & Pell, B. (1999) Agents with Adjustable Autonomy: Papers from 1999 AAAI Spring Symposium, AAAI Tech Report SS-99-06 The IJCAI-01 Workshop on Autonomy, Delegation, and Control: Interacting with Autonomous Agents (http://www.csce.uark.edu/~hexmoor/AA01/IJCAI01-cfp.htm) Project: Project Seminar participants will work with game-engine based simulation of USAR reference arenas we are developing to develop and test concepts for teleoperation and/or delegation in control of simulated robot(s)