人与群体交互及意图传达与多机器人行为理解博士研究员
Human-swarm interaction by communicating intent and understanding multi-robot behaviour
原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。
博士招生与资助公告
- 申请年度
- 2027；原帖说明：How to apply Apply now You need to: • choose programme type (Research), 2027/28, Faculty of Engineering and Physical Sciences • select Full time or Part time • search for programme PhD Computer Science (7089) • add name of the supervisor in section 2 of the application Applications should include: • research proposal • your CV (resumé) • 2 academic references • degree transcripts and certificates to date • English language qualification (if applicable)
- 最近申请截止
- 2027-05-31
- 全部申请截止
- （Europe/London）
- 资助原文
- Fees and funding We offer a range of funding opportunities for both UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants. Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered. For more information, please visit our postgraduate research funding pages.
- 资助条件
- 原帖为竞争性或附条件资助说明，未确认本项目获资助及申请人能获奖；不作为保证全奖。
- 原帖材料说明
- • research proposal
- • your CV (resumé)
- • 2 academic references
- • degree transcripts and certificates to date
- • English language qualification (if applicable)
确定性信息来自对应版本的完整原帖。原帖只提供日期，日末和学校当地时区为本站转换假设。筛选使用最后申请截止；资助与录取以学校审核结果为准。
AI 中文速览
- 研究内容
- 本项目旨在开发新的人机群体交互方法，使操作员能够自然地表达高级目标，同时提供关于群体行为、原因及下一步走向的直观解释。研究可能探索如何将人类自然指令转化为适当的集体行为与任务分配，以及群体如何向人类操作员传达其状态、意图、决策和突发问题。项目还将开发支持适当抽象级别的交互机制，并利用仿真或物理群体机器人平台进行实验评估。
- 申请条件
- 申请人必须拥有英国 2:1 荣誉学士学位或国际同等学历，专业背景包括计算机科学、机器人学、人工智能、工程学、人机交互、心理学、认知科学或密切相关学科。基本技能要求：对人机交互、自主系统、机器人学或人工智能有浓厚兴趣；具备独立开展研究和批判性评估科学文献的能力；具备强大的编程技能（最好使用 Python 或同等语言）。
- 待遇
- 学校为英国及国际学生提供一系列资助机会，竞争性总统奖学金可为顶级申请者涵盖海外学费与英国学费之间的差额，学院提供的竞争性奖学金通常涵盖英国水平的学费及生活费津贴。资助以滚动方式发放，需尽早申请。
- 申请方式
- 申请人需登录官网选择研究型项目（Research）、2027/28学年、工程与物理科学学院，选择全职或兼职，搜索 PhD Computer Science (7089) 项目，并在申请的第2部分添加导师姓名。
- 材料清单
- 研究计划书 (research proposal)
- 简历 (CV (resumé))
- 2封学术推荐信 (2 academic references)
- 至今为止的学位成绩单和证书 (degree transcripts and certificates to date)
- 英语语言资格证明（如适用） (English language qualification (if applicable))
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
岗位信息
- 最终轮次截止
- 2027-05-31
- 学科
- 计算机科学
- 合同类型
- 项目资助
- 本站收录
- 内容更新
- 导师
- Dr Mohammad Soorati
- 来源
- 南安普顿大学博士研究项目招生 · 最近核对 2026-10-10
- 详情核验
判定依据（原文摘录）
- is_phd
This PhD will develop new approaches for human-swarm interaction
- english_ok
English language qualification (if applicable)
- bachelor_ok
You must have a UK 2:1 honours degree, or its international equivalent
原文
View all current projects
Postgraduate research project
Human-swarm interaction by communicating intent and understanding multi-robot behaviour
Funding
Competition funded
Competition funded
View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree
2:1 honours degree
View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date
31 May 2027
On this page
About the project
Potential supervisors
Entry requirements
Fees and funding
How to apply
Contact us
About the project
Potential supervisors
Entry requirements
Fees and funding
How to apply
Contact us
About the project
Robot swarms can perform complex tasks collectively, but how should humans communicate with and understand these systems? This PhD will develop new approaches for human-swarm interaction, enabling operators to express high-level goals naturally while providing intuitive explanations of what the swarm is doing, why it is doing it, and what will happen next.
Robot swarms offer a powerful approach to complex missions because many autonomous robots can coordinate without requiring humans to control each robot individually. However, this creates a fundamental human-swarm interaction challenge. Humans must communicate high-level intent to a collective system while simultaneously understanding its behaviour, capabilities and limitations.
This PhD will investigate how humans can effectively interact with autonomous robot swarms through communication of intent to the swarm and understanding swarm behaviour. The research could explore how natural human instructions can be translated into appropriate collective behaviours and task allocations. It will investigate how a swarm can communicate its current state, intentions, decisions and emerging problems to a human operator without overwhelming them with information.
A key research goal will be to develop interaction mechanisms that support appropriate levels of abstraction: enabling humans to reason about the swarm as a collective while allowing access to individual robots when required for diagnosis or intervention. The project may explore graphical interfaces, natural-language interaction, explainable AI, adaptive visualisation and mixed-initiative human-swarm teaming.
Building on existing research into operator workload and scalable swarm interaction, the successful candidate will develop and experimentally evaluate new HSI approaches using simulation and/or physical swarm-robotics platforms.
The student will have access to the robotic platforms available in SooratiLab including robot dogs, several ground rovers, quadcopters, robotic arms, etc.
The School of Electronics & Computer Science is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.
Potential supervisors
Lead supervisor
Dr Mohammad Soorati
Dr.Eng., MSc, BSc
Associate Professor
Research interests
• Human-swarm Interaction
• Multi-robot Systems
• Swarm Robotics
Entry requirements
You must have a UK 2:1 honours degree, or its international equivalent, in one of the following:
• computer science
• robotics
• artificial intelligence
• engineering
• human-computer interaction
• psychology
• cognitive science
• a closely related discipline
Essential skills:
• strong interest in human-robot interaction, autonomous systems, robotics or artificial intelligence
• ability to undertake independent research and critically evaluate scientific literature
• strong programming skills, preferably in Python or a comparable language
Fees and funding
We offer a range of funding opportunities for both UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students.
Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants.
Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants.
Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.
For more information, please visit our postgraduate research funding pages.
How to apply
Apply now
You need to:
• choose programme type (Research), 2027/28, Faculty of Engineering and Physical Sciences
• select Full time or Part time
• search for programme PhD Computer Science (7089)
• add name of the supervisor in section 2 of the application
Applications should include:
• research proposal
• your CV (resumé)
• 2 academic references
• degree transcripts and certificates to date
• English language qualification (if applicable)
Contact us
Faculty of Engineering and Physical Sciences
For questions about applying, email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).
Project leader
For an initial conversation, email Dr Mohammad Soorati (M.Soorati@soton.ac.uk).