intelligence: Book reviews

By Karen T. Sutherland. 2001

1,141 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, AI Ethics, Fairness & Society

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Citations in the corpus

Habitat 2.0: Training Home Assistants to Rearrange their Habitat (2021, methodology): “We conduct a systematic study of two distinct techniques – monolithic ‘sensors-to-actions’ policies trained with reinforcement learning (RL) at scale, and classical senseplan-act pipelines (SPA) [27] – with a particular emphasis on systematic generalization to new objects, receptacles, apartment lay”
Toward a framework for levels of robot autonomy in human-robot interaction (2014, background): “Each task, no matter how simple or complex, can be divided into primitives: sense, plan, and act (Murphy, 2000; Rosen & Nilsson, 1966).”
Research and development in agricultural robotics: a perspective of digital farming. (2018, background): “The function of a harvesting robot can be separated into three main sections as sensing (i.e., fruit recognition), planning (i.e., hand-and-eye coordination) and acting (i.e., end-effector mechanism for fruit grasping) [170] .”
Experiments in adjustable autonomy (2001, background): “Alternative approaches to teleautonomy that focus on the operator include the use of predictive displays (Lane, Carignan , & Akin 2000) and the use of intelligent interface assistants (Murphy & Rogers 1996).”
RFID in robot-assisted indoor navigation for the visually impaired (2004, methodology): “The TI Series 2000 RFID reader is connected to a square 200mm × 200mm antenna.”
The Impacts of Robotics, Artificial Intelligence On Business and Economics (2015, background): “The definition of Robotics is given as (Murphy, 2000): “Robotic is an intelligent robot or a mechanical creature that can function autonomously.””
Introduction to Autonomous Mobile Robots (2004, background): “…Machines, Stefano Nolfi and Dario Floreano, 2000 Reasoning about Rational Agents, Michael Wooldridge, 2000 Introduction to AI Robotics, Robin R. Murphy, 2000 Strategic Negotiation in Multiagent Environments, Sarit Kraus, 2001 Mechanics of Robotic Manipulation, Matthew T. Mason, 2001 Designing…”
Multimodal integration learning of robot behavior using deep neural networks (2014, background): “Subsequently, in robotics, sensory inputs acquired from different sources are still typically processed with dedicated feature-extraction mechanisms [10].”
Stereo-Camera-Based Urban Environment Perception Using Occupancy Grid and Object Tracking (2012, background): “In the case of our occupancy grid, the belief masses are computed as follows [30] It is easy to recognize that m meas t (occ), m meas t (free), and m meas t (unk) represent the belief masses obtained from the current measurement, whereas m t−1 (occ), m t−1 (free), and m t−1 (unk) represent the last…”
Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center (2003, background): “This niche space is the conjunction of two spaces: the ecological niche , used in behavior-based robotics [7], and the social niche , a concept emerging in the multi-agent community.”
Cooperative Control of Dynamical Systems With Application to Autonomous Vehicles (2009, methodology): “For example, artificial intelligence methods [1] have been extensively used to explore the architecture, task allocation, mapping building, coordination, and control algorithms in multirobot motion systems [2]–[5].”
Odin: Team VictorTango's entry in the DARPA Urban Challenge (2008, background): “Other advantages of using a behaviorbased paradigm include modularity, the ability to test incrementally, and graceful degradation (Murphy, 2000).”
Automation in forestry: development of unmanned forwarders (2011, background): “usually divided into two categories (Murphy, 2000):”
The Whiteness of AI (2020, background): “Such machines are conceived as tools that will replace “dirty, dull, or dangerous” tasks (Murphy 2000, 16) , including replacing human interactions that are considered metaphorically dirty: White robot servants will allow the White master to live a life of ease unsullied by interaction with people…”
How UGVs physically fail in the field (2005, background): “Manually controlled by an operator at a distance that is too great for the operator to see what the robot is doing [6].”
Team Cornell's Skynet: Robust perception and planning in an urban environment (2008, background): “Behavior-Based Paradigm include modularity, the ability to test incrementally, and graceful degradation (Murphy, 2000).”
Theta*: Any-Angle Path Planning on Grids (2007, methodology): “r path planning. In this section, we compare grids to other existing terrain discretizations. We use grids to discretize terrain since they are widely used in robotics and video games (Deloura, 2000; Murphy, 2000; Rabin, 2004) and have several desirable properties: • Grids are simple data structures”
Whose job is it anyway? a study of human-robot interaction in a collaborative task (2004, background): “In reality, an intelligent robot is a mechanical creature which can function autonomously and interact with its world (Murphy, 2000).”
Creating emergent behaviors: two robotics labs that combine reactive behaviors (2005, methodology): “Following the taxonomy of the discipline presented in the text used in the course, Murphy’s [8] Introduction to AI Robotics, the lecture component introduces three distinct paradigms: the traditional, top down approach to robotics that emerged from early work in artificial intelligence; the behavior”