We are pleased to announce that the second edition of MBZIRC is scheduled to take place in Abu Dhabi, UAE in the Fall of 2019. We wish to inform you that the initial Challenge Description for MBZIRC 2019 is ready and available on the MBZIRC website at MBZIRC 2019 has a two-stage application process. First, teams must declare their intention to participate by registering online at (The deadline is October 15, 2017). The second stage, “Call for Proposals,” with details on how to apply for sponsorship, will be released in November 2017. We would like feedback from the robotics community about the Challenge, and kindly ask you to complete the questionnaire at



The robotics training program under the sponsorship of LearnSG  has been successfully concluded on 16 September, 2017 (final lesson). A total number of about 290 students from Polytechniques, Institutes of Technical Education, and Secondary Schools has participated in this training. Please go to our training website (LearnSG Workshop) to look at some photos. Thanks to all council members for your help in advice, technical support, and publicity, etc.





新加坡机器人学会谢明会长应邀参加了一年一度在北京举办的2017年世界机器人大会。这是一次很好的学习和交流的机会。在开幕式上, 谢明会长亲耳怜听了中国国务院副总理刘延东的致辞。并非常认同刘延东副总理提出的关于促进机器人科技和产业发展的四点建议。用谢明会长的话来概括, 这四点建议为:

  1. 合作的深度: 刘延东副总理希望机器人专业的中外科学家能够全面地和深度地开展学术和科研合作与攻关。
  2. 应用的广度: 刘延东副总理希望机器人专业的中外工程师能够深度地挖掘机器人技术在社会各个领域的广泛应用。
  3. 生态的亮度: 刘延东副总理希望机器人专业的科技工作者能够营造高度文明的科研和产业生态。避免恶性的、和同质的竞争。
  4. 发展的高度: 刘延东副总理希望机器人专业和产业能够朝着有利于社会进步的正确方向发展。避免低级的、破坏社会伦理道德的、和伤害世界和平的机器人产品的出现。

谢明会长认为,包括今年在内的三届世界机器人大会的两大特点是: 云集了世界级的机器人专家论坛和云集了世界级的机器人厂商参展。这是机器人历史上从未有过的盛会。这样的壮举离不开中国国家领导人和政府的大力支持和推动。

为了保持这个势头, 谢明会长建议世界机器人大会把<引领潮流>这四个字作为座佑铭, 并在以下四个方面进一步做实做强:

  1. 面向教育家的专场: 这是促进机器人专业内涵发展的重要任务之一。它主要围绕机器人领域的人才培养这个主题, 以教育论坛和中小大学生竞赛为内容, 吸引广大教育工作者亲临世界机器人大会。
  2. 面向科学家的专场: 这也是促进机器人专业内涵发展的重要任务之一。它主要围绕机器人领域的科学问题这个核心, 以学术会议和学术论坛为平台, 深入地交流解决科学问题的最佳、最新和最经典的方法, 并吸引广大科研工作者亲临世界机器人大会。
  3. 面向企业家的专场: 这是促进机器人专业外围拓展的重要任务之一。它主要围绕机器人领域的社会需求这个核心, 以总裁论坛、产品发布和成果展示为内容, 交流满足社会需求的产品、服务和创业模式, 并吸引广大科技企业家及投资人士亲临世界机器人大会。
  4. 面向决策者的专场: 这也是促进机器人专业外围拓展的重要任务之一。它主要围绕机器人领域的知识普及这个核心, 以专家报告会的形式, 分享机器人专业的基础知识、前沿技术及未知领域, 吸引广大科技决策者、科技干部和公众亲临世界机器人大会。

总之, 谢明会长为中国政府以开放、包容的姿态连续三年成功举办世界机器人大会而感到自豪和称贊。我们忠心地祝愿世界机器人大会以务实求真的方式不断地引领世界机器人发展的潮流。



The 2017 Spacecraft Robotics Challenge is sponsored by the Air Force Research Laboratory (AFRL) Tech Engagement Office to strengthen ties between the military, industrial, and academic robotics communities and to promote research and development in the application of unstructured automation and robotic assembly concepts to small satellites. Participating entrants or teams will be using an autonomous robot to assemble a series of simplified satellite assembly steps based solely on computer aided design (CAD) parts and assembly models. Participants will be competing to assemble a series of five challenge levels of increasing difficulty and on the time it takes to complete each assembly. The top participants will receive prizes in the following amounts:

1st place – $6,000

2nd place – $3,000

3rd place – $1,000


IEEE Transactions on Cognitive and Developmental Systems

Special Issue on Language Learning in Humans and Robots

2nd Call for Papers

Deadline for manuscript submissions: 31 August 2017

The publication will be in early 2018

Children acquire language by interacting with their caregivers and others in their social environment. When children start to talk, their sensory-motor intelligence (visual perception, body movement, navigation, object manipulation, auditory perception and articulatory control) is already reaching a high level of competence. Importantly, communication is based on representations and skills that have started to develop much earlier and that are shaped already in first (social) interactions. These interactions are multimodal in nature and vary across contexts. The contexts vary not only across developmental time and situations within individuals, but also between individuals, socio-economic groups and cultures. Continuously, representations become further enriched in ongoing interactions and across different contexts.

Even though there are various efforts in developmental robotics to model communication, the emergence of symbolic communication is still an unsolved problem. We are still lacking convincing theories and implementations that show how cooperation and interaction skills could emerge in long-term experiments with populations of robotic agents or how these skills develop in children. Importantly, the continuous acquisition of knowledge in different contexts and being able to further enrich the underlying representations provides a potential powerful mechanism (cross-situational learning), which is already well recognized in learning in children. Still, we need to know more about how children recognize contexts and how their language learning benefits from different language use varying across contexts.

This special issue aims at surveying the state of the art of the emergence of communication which requires combining and integrating knowledge from diverse disciplines: developmental psychology, robotics, artificial language evolution, complex systems science, computational linguistics and machine learning. Topics relevant to this special issue include, but are not limited to

  1. Psychological experiments on language learning in children
  2. Corpus-based approaches to language acquisition
  3. Language learning models for all stages of acquisition (gesture learning, early lexicon and grammar)
  4. Representations for language learning (sensorimotor schemas, constructions, neural networks, mirror neurons)
  5. Cognitive architectures and strategies for language learning
  6. Cross-situational learning
  7. Language acquisition and development of self-awareness
  8. Role of context in language learning
  9. Role of embodiment in language learning
  10. Role of multimodality (gesture, gaze etc) in language learning
  11. Role of social interaction and joint attention
  12. Co-development of skills, e.g. motor and language skills
  13. Integration of natural language grounding into perception-action cycles
  14. Connection with cultural and biological evolution of language


The Human Brain Project (HBP) aims to bring a large number of users to the HBP-Joint Platform to make it even more attractive for the external science community and to foster new collaborations across the full width of the HBP’s Subprojects (including Neurorobotics). To achieve this, a substantial amount of funding is available in the next two-year funding period for partner organisations to help contribute.

The HBP is asking potential new Partners to submit proposals that will directly contribute to the development of the HBP Platforms and increase the scope of their application, in terms of neuroscience and clinical research. The selected Partners will become full Partners in the HBP Consortium. The projects will run from April 2018 to March 2020. Please note that for some of the CEoIs, current Partners of the HBP Consortium are explicitly invited to write a proposal with new Partners and apply together.

Priv.-Doz. Dr. Florian Roehrbein

Program Director HBP Neurorobotics



We would like to announce the availability of a MATLAB toolbox, the KUKA Sunrise toolbox (KST), to interface KUKA Sunrise.



In collaboration with the IEEE “Transactions on Cognitive and Developmental Systems” journal, we are launching a special issue on Language Learning in Humans and Robots. We encourage all interested researchers to submit their papers.


IEEE Transactions on Cognitive and Developmental Systems

Special Issue on Language Learning in Humans and Robots

2nd Call for Papers

August 2017 – Deadline for manuscript submissions

The publication will be in early 2018.



Summer school on


The goal of this summer school is to teach state-of-the-art methods by going beyond bio-inspired systems, which are focused on developing technology, to bio-hybrid systems, where technology resides in symbiosis with living systems. These bio-hybrid systems can make the best use of the properties of both components: biological and technological. For this, both systems and their interactions need to be understood and modelled in a more detailed way than it would be necessary for classical bio-inspired systems. During this summer school, examples will come from hybrid systems involving robots and bees, fish and plants. The school will consist of four main parts: preparation, lectures, practicals, and a reporting for students who would like to submit the result of their practical work for evaluation.


Deadline: 26th of July 2017

Notification of acceptance: 31st of July 2017