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 Nicholas George Dilip Roy

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Average citations per article9.15
Citation Count613
Publication count67
Publication years1996-2017
Available for download11
Average downloads per article367.73
Downloads (cumulative)4,045
Downloads (12 Months)369
Downloads (6 Weeks)56
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70 results found Export Results: bibtexendnoteacmrefcsv

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1
September 2018 International Journal of Robotics Research: Volume 37 Issue 10, 9 2018
Publisher: Sage Publications, Inc.
Bibliometrics:
Citation Count: 0

Our goal is to develop models that allow a robot to efficiently understand or ?ground? natural language instructions in the context of its world representation. Contemporary approaches estimate correspondences between language instructions and possible groundings such as objects, regions, and goals for actions that the robot should execute. However, these ...
Keywords: Human-Robot interaction, abstract spatial concepts, language grounding, robot learning

2
July 2018 IJCAI'18: Proceedings of the 27th International Joint Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

We define an admissibility condition for abstractions expressed using angelic semantics and show that these conditions allow us to accelerate planning while preserving the ability to find the optimal motion plan. We then derive admissible abstractions for two motion planning domains with continuous state. We extract upper and lower bounds ...

3
August 2017 IJCAI'17: Proceedings of the 26th International Joint Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

A robot's ability to understand or ground natural language instructions is fundamentally tied to its knowledge about the surrounding world. We present an approach to grounding natural language utterances in the context of factual information gathered through natural-language interactions and past visual observations. A probabilistic model estimates, from a natural ...

4
August 2017 IJCAI'17: Proceedings of the 26th International Joint Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

Our goal is to develop models that allow a robot to understand or "ground" natural language instructions in the context of its world model. Contemporary approaches estimate correspondences between an instruction and possible candidate groundings such as objects, regions and goals for a robot's action. However, these approaches are unable ...

5
October 2015 Autonomous Robots: Volume 39 Issue 3, October 2015
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 2

Robots inevitably fail, often without the ability to recover autonomously. We demonstrate an approach for enabling a robot to recover from failures by communicating its need for specific help to a human partner using natural language. Our approach automatically detects failures, then generates targeted spoken-language requests for help such as ...
Keywords: Assembly, Failure handling, Human---robot interaction, Natural language generation, Failure detection

6
June 2015 International Journal of Robotics Research: Volume 34 Issue 7, 6 2015
Publisher: Sage Publications, Inc.
Bibliometrics:
Citation Count: 3

In this paper, we describe trajectory planning and state estimation algorithms for aggressive flight of micro aerial vehicles in known, obstacle-dense environments. Finding aggressive but dynamically feasible and collision-free trajectories in cluttered environments requires trajectory optimization and state estimation in the full state space of the vehicle, which is usually ...
Keywords: aerial robotics, design and control, field and service robotics, mobile and distributed robotics SLAM, sensor fusion, mechanics, sensing and perception computer vision, Non-holonomic motion planning, localization, motion control

7
June 2015 Journal of Field Robotics: Volume 32 Issue 4, June 2015
Publisher: John Wiley and Sons Ltd.
Bibliometrics:
Citation Count: 1

One long-standing challenge in robotics is the realization of mobile autonomous robots able to operate safely in human workplaces, and be accepted by the human occupants. We describe the development of a multiton robotic forklift intended to operate alongside people and vehicles, handling palletized materials within existing, active outdoor storage ...

8
December 2014 NIPS'14: Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2
Publisher: MIT Press
Bibliometrics:
Citation Count: 0

We develop a model by choosing the maximum entropy distribution from the set of models satisfying certain smoothness and independence criteria; we show that inference on this model generalizes local kernel estimation to the context of Bayesian inference on stochastic processes. Our model enables Bayesian inference in contexts when standard ...

9
February 2014 Machine Learning: Volume 94 Issue 2, February 2014
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 6

In order for robots to effectively understand natural language commands, they must be able to acquire meaning representations that can be mapped to perceptual features in the external world. Previous approaches to learning these grounded meaning representations require detailed annotations at training time. In this paper, we present an approach ...
Keywords: Robotics, Machine learning, Probabilistic graphical models, Language

10
January 2014 International Journal of Robotics Research: Volume 33 Issue 1, January 2014
Publisher: Sage Publications, Inc.
Bibliometrics:
Citation Count: 0


11
December 2013 Foundations and Trends® in Machine Learning: Volume 6 Issue 4, December 2013
Publisher: Now Publishers Inc.
Bibliometrics:
Citation Count: 4

A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms for learning and acting in MDPs. This article reviews such algorithms, beginning with well-known dynamic programming methods for solving MDPs such as policy iteration and value ...

12
November 2013 Autonomous Robots: Volume 35 Issue 4, November 2013
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0


13
September 2013 Robotics and Autonomous Systems: Volume 61 Issue 9, September, 2013
Publisher: North-Holland Publishing Co.
Bibliometrics:
Citation Count: 5

Mobile robotics has achieved notable progress, however, to increase the complexity of the tasks that mobile robots can perform in natural environments, we need to provide them with a greater semantic understanding of their surrounding. In particular, identifying indoor scenes, such as an Office or a Kitchen, is a highly ...
Keywords: Mobile robotics, Visual recognition, 3D cues, Scene recognition

14
August 2013 UAI'13: Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence
Publisher: AUAI Press
Bibliometrics:
Citation Count: 0

Matching pursuit (MP) methods are a promising class of feature construction algorithms for value function approximation. Yet existing MP methods require creating a pool of potential features, mandating expert knowledge or enumeration of a large feature pool, both of which hinder scalability. This paper introduces batch incremental feature dependency discovery ...

15
July 2013
Bibliometrics:
Citation Count: 0

Robotics: Science and Systems VIII spans a wide spectrum of robotics, bringing together contributions from researchers working on the mathematical foundations of robotics, robotics applications, and analysis of robotics systems. This volume presents the proceedings of the eighth annual Robotics: Science and Systems (RSS) conference, held in July 2012 at ...

16
July 2013 Autonomous Robots: Volume 35 Issue 1, July 2013
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 6

This paper presents a real-time path planning algorithm that guarantees probabilistic feasibility for autonomous robots with uncertain dynamics operating amidst one or more dynamic obstacles with uncertain motion patterns. Planning safe trajectories under such conditions requires both accurate prediction and proper integration of future obstacle behavior within the planner. Given ...
Keywords: Gaussian processes, Trajectory prediction, Planning under uncertainty

17
June 2013 Journal of Human-Robot Interaction - Special Issue on Technical and Social Advances in HRI: An Invitational Issue of JHRI: Volume 2 Issue 2, June 2013
Publisher: Journal of Human-Robot Interaction Steering Committee
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 11,   Downloads (12 Months): 62,   Downloads (Overall): 66

Full text available: PDFPDF
Our goal is to improve the efficiency and effectiveness of natural language communication between humans and robots. Human language is frequently ambiguous, and a robot's limited sensing makes complete understanding of a statement even more difficult. To address these challenges, we describe an approach for enabling a robot to engage ...
Keywords: dialog, human-robot interaction, information theory, natural language

18
March 2013 HRI '13: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
Publisher: IEEE Press
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 1,   Downloads (12 Months): 10,   Downloads (Overall): 124

Full text available: PDFPDF
We describe an approach for enabling robots to recover from failures by asking for help from a human partner. For example, if a robot fails to grasp a needed part during a furniture assembly task, it might ask a human partner to "Please hand me the white table leg near ...
Keywords: furniture assembly, natural language, robots

19
February 2013
Bibliometrics:
Citation Count: 0

Algorithms are a fundamental component of robotic systems. Robot algorithms process inputs from sensors that provide noisy and partial data, build geometric and physical models of the world, plan high-and low-level actions at different time horizons, and execute these actions on actuators with limited precision. The design and analysis of ...

20
August 2012 Artificial Intelligence: Volume 187-188, August, 2012
Publisher: Elsevier Science Publishers Ltd.
Bibliometrics:
Citation Count: 2

Acting in domains where an agent must plan several steps ahead to achieve a goal can be a challenging task, especially if the [email protected]?s sensors provide only noisy or partial information. In this setting, Partially Observable Markov Decision Processes (POMDPs) provide a planning framework that optimally trades between actions that ...
Keywords: Reinforcement learning, Bayesian methods, Partially observable Markov decision process



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