Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva

By Sebastian Thrun, Michael Beetz, Maren Bennewitz, Wolfram Burgard, Armin Bernd Cremers, Frank Dellaert, Dieter Fox, Dirk Hähnel, Charles R. Rosenberg, Nicholas A. Roy and 2 more. Int. J. Robotics Res., 2000

622 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/3dd4b6b50761e9910be96d3a6aa8ba2c941419fa

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Citations in the corpus

Whose job is it anyway? a study of human-robot interaction in a collaborative task (2004, background): “Robots have been designed for many situations, including to act as a museum guide [ Thrun et al. 2000 ] or conference presenter [Simmons et al. 2003].”
Robust Monte Carlo localization for mobile robots (2001, methodology): “Finally, all these problems are particularly hard in dynamic environments, e.g., if robots operate in the proximity of people who corrupt the robot’s sensor measurements [5, 71 ].”
Robot navigation in dense human crowds: Statistical models and experimental studies of human–robot cooperation (2015, background): “4 of Trautman (2013), an overview of untested navigation approaches is provided, along with an explanation for why our test algorithms capture the essential characteristics of those algorithms.”
Human-Robot Interaction (2012, neutral): “experience with mobile, autonomous robots in settings such as museums (Thrun et al., 2000), we lack a principled understanding of how to design robots that will accomplish these more ambitious goals.”
Finding Approximate POMDP solutions Through Belief Compression (2011, neutral): “The majority of localisation algorithms assume range sensors such as laser sensors (Burgard et al., 1999; Thrun et al., 2000) or sonar sensors (Leonard & DurrantWhyte, 1991; MacKenzie & Dudek, 1994; Borenstein et al.”
Robotic mapping: a survey (2003, methodology): “This approach has been used in a great number of robotic systems, such as [8, 9, 10, 42, 83, 98, 106, 107].”
Matching robot appearance and behavior to tasks to improve human-robot cooperation (2003, background): “To this end, researchers are studying human-robot interaction in social settings such as homes [12], museums [25], and hospitals [24].”
An effective personal mobile robot agent through symbiotic human-robot interaction (2010, neutral): “, [13][15][16]).”
A Probabilistic On-Line Mapping Algorithm for Teams of Mobile Robots (2001, background): “Examples include the Helpmate hospital delivery robot (King and Weiman 1990), Simmons’s Xavier robot (Simmons 1996), and various museum tour-guide robots (Burgard, Cremers, et al. 1999; Horswill 1994; Nourbakhsh et al. 1999; Thrun et al. 2000).”
Robomote: enabling mobility in sensor networks (2005, background): “Localization has also been one of the fundamental problems of study in distributed robotics [Thrun et al. 2001] [ Thrun et al. 2000 ].”
Mobile Robot Localisation and Mapping in Extensive Outdoor Environments (2002, methodology): “This technique is demonstrated in [129], where shorter-than-expected range measurements are rejected to permit robust localisation in an environment crowded with people.”
Human-robot interaction in rescue robotics (2004, background): “Although human interactions with robots span almost every robotic endeavor [10], [11], HRI research has been conducted primarily in six application domains: entertainment [12], [13], [14], [15] (see Breazeal in this issue), museum docents [16], [17], [18], [19], [20], personal assistants [21], [22] ”
Adapting the Sample Size in Particle Filters Through KLD-Sampling (2003, methodology): “A grid-based method has been applied successfully for the position estimation of the museum tourguide robots Rhino and Minerva (Burgard et al. 1999; Thrun et al. 2000; Fox, Burgard, and Thrun 1999b).”