Team Homer@UniKoblenz — Approaches and Contributions to the RoboCup@Home Competition

Seib, Viktor; Manthe, Stephan; Memmesheimer, Raphael; Polster, Florian; Paulus, Dietrich

doi:10.1007/978-3-319-29339-4_7

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Some reasons include a) the sequential nature of the tests, b) the simplicity of the tasks (HRI-wise), c) the computational power available in the robot, d) the lack of awareness due to sensors' limitations, and e) the need of recognizing only a few words. In consequence, most approaches for NLP relied in keyword spotting or pattern matching to trigger the execution of a state machine [20,15]. At least in the beginning, this strategy seemed to be faster and more robust than its more advanced counterparts, albeit much simpler.…”

Section: Adopted Strategies and Software Solutions For Hrimentioning

confidence: 99%

From Commands to Goal-Based Dialogs: A Roadmap to Achieve Natural Language Interaction in RoboCup@Home

Matamoros

Harbusch

Paulus

2019

RoboCup 2018: Robot World Cup XXII

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On the one hand, speech is a key aspect to people's communication. On the other, it is widely acknowledged that language proficiency is related to intelligence. Therefore, intelligent robots should be able to understand, at least, people's orders within their application domain. These insights are not new in RoboCup@Home, but we lack of a long-term plan to evaluate this approach. In this paper we conduct a brief review of the achievements on automated speech recognition and natural language understanding in RoboCup@Home. Furthermore, we discuss main challenges to tackle in spoken human-robot interaction within the scope of this competition. Finally, we contribute by presenting a pipelined road map to engender research in the area of natural language understanding applied to domestic service robotics.

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Section: Adopted Strategies and Software Solutions For Hrimentioning

confidence: 99%

From Commands to Goal-Based Dialogs: A Roadmap to Achieve Natural Language Interaction in RoboCup@Home

Matamoros

Harbusch

Paulus

2019

RoboCup 2018: Robot World Cup XXII

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“…Moving forward to Natural Language Processing, teams are migrating from keyword spotting and pattern matching with state machines [9,34,38]. Groups focusing in NLP and Natural Language Understanding (NLU) are rare, and solutions are mentioned in less than 50% of the TDPs.…”

Section: E Audio Speech and Natural Language Processingmentioning

confidence: 99%

“…Moving forward to Natural Language Processing (NLP), despite the remarkable advances achieved in this area, little has been exploited in RoboCup@Home. To the date, we have found many teams still rely in keyword spotting and pattern matching to trigger the execution of a state machine [10,36,39], specially in simple tests. In fact, NLP and Natural Language Understanding (NLU) are mentioned in less than 50% of the TDPs.…”

Section: Audio Speech and Natural Language Processingmentioning

confidence: 99%

Trends, Challenges and Adopted Strategies in RoboCup@Home

Matamoros

Seib

Paulus

2019

2019 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

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Scientific competitions are crucial in the field of service robotics. They foster knowledge exchange and allow teams to test their research in unstandardized scenarios and compare result. Such is the case of RoboCup@Home. However, keeping track of all the technologies and solution approaches used by teams to solve the tests can be a challenge in itself. Moreover, after eleven years of competitions, it's easy to delve too much into the field, losing perspective and forgetting about the user's needs and long term goals.In this paper, we aim to tackle this problems by presenting a summary of the trending solutions and approaches used in Robo-Cup@Home, and discussing the attained achievements and challenges to overcome in relation with the progress required to fulfill the long-term goal of the league. Hence, considering the current capabilities of the robots and their limitations, we propose a set of milestones to address in upcoming competitions.With this work we lay the foundations towards the creation of roadmaps that can help to direct efforts in testing and benchmarking in robotics competitions.Remark: Information from 2018 participants couldn't be considered since the list of attending teams to Montreal 2018 and their scoring in the RoboCup@Home leage was not available at the writing time of this manuscript.

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“…The RoboCup@Home league aims to develop service robots that can perform complex tasks in real-world environments. A good example of a state-of-the-art robot in that sector is Lisa (73), which won the open demonstration challenge in 2015. Lisa combined many advances in the field, including 3-D object recognition, object manipulation, affordance detection, and speech recognition.…”

Section: Tool Usementioning

confidence: 99%

From Visual Understanding to Complex Object Manipulation

Bütepage

Cruciani

Kokić

et al. 2019

Annu. Rev. Control Robot. Auton. Syst.

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Planning and executing object manipulation requires integrating multiple sensory and motor channels while acting under uncertainty and complying with task constraints. As the modern environment is tuned for human hands, designing robotic systems with similar manipulative capabilities is crucial. Research on robotic object manipulation is divided into smaller communities interested in, e.g., motion planning, grasp planning, sensorimotor learning, and tool use. However, few attempts have been made to combine these areas into holistic systems. In this review, we aim to unify the underlying mechanics of grasping and in-hand manipulation by focusing on the temporal aspects of manipulation, including visual perception, grasp planning and execution, and goal-directed manipulation. Inspired by human manipulation, we envision that an emphasis on the temporal integration of these processes opens the way for human-like object use by robots.

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Team Homer@UniKoblenz — Approaches and Contributions to the RoboCup@Home Competition

Cited by 7 publications

References 14 publications

From Commands to Goal-Based Dialogs: A Roadmap to Achieve Natural Language Interaction in RoboCup@Home

From Commands to Goal-Based Dialogs: A Roadmap to Achieve Natural Language Interaction in RoboCup@Home

Trends, Challenges and Adopted Strategies in RoboCup@Home

From Visual Understanding to Complex Object Manipulation

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