23 - 24 February 2022 | London, UK
+ Digital Day: 25 February 2022 | Online
Pharmaceutical Mobile Robotics Congress23 - 24 February 2022 | London, UK
+ Digital Day: 25 February 2022 | Online

Enabling The Development Of Plug and Play Robotics and Advancing Innovation In QC Labs Of The Future, Pharma Logistics & Automation

Two days of cutting-edge presentations and knowledge-sharing, including over 40 industry insights, sponsored presentations and demos, interactive panel discussions and followed by a dedicated Digital Day delivered through our online event platform

Pharmaceutical Mobile Robotics Congress

Benefits to Attending

  • Cost savings and reliability in automation of pharma manufacturing, QA and QC
  • Evaluating the impact of automation of pharma manufacturing and the application of mobile robotics
  • Overcoming challenges in varying software standards and the development of plug and play robotics
  • Creating a business case and competitive advantage in the innovation of QC labs of the future, pharma logistics & automation

This Year's Agenda at a Glance

  • Keynote Address: Future of Pharmaceutical Manufacturing
  • Plug & Play Mobile Robots For Laboratories
  • Enabling Plug And Play Connectivity
  • Development Of Future Mobile Robotics
  • The Connecting Environment For Mobile Robotics
  • Panel Discussion 1: Vision For Future And Scope Of The Mobile Robotics
  • Panel Discussion 2: Industry Standards Agreement

Afternoon: Vendor Demos

Part 1: QC Labs of the future
  • Keynote Address: Applications of Mobile Robotics in QC Labs
  • Overnight working – Enabling Set up and leave
  • Interfacing LIMs with Mobile Robotics – MODA-EMTM Software
  • Panel Discussion: Overcoming Challenge – Bridging The Gaps: Interface With Robotic Software
Part 2: Pharma Logistics Automation
  • Mobile Service Robotics for Logistics
  • Automatic Inventory Counts And Automation Of Warehousing
  • Panel Discussion: Implications on Labs of the Future And Sharing Best Practice
Afternoon: Vendor Demos
  • Presentations & interactive sessions on all above topics

Key Speakers

The 2022 event brings together a panel of prominent leaders and scientists, sharing new case studies, innovative data and industry outlook.

Below are some of the confirmed speakers of 2022’s Congress

Head of Future Manufacturing, Concepts
INVITE GmbH
Leader
DLR German Aerospace Center Institute of Robotics and Mechatronics
Head of Center of Excellence RobotiX
Boehringer Ingelheim
Partner
McKinsey & Company
Head of Cell Therapy Process Development, Automation& Digital Technologies
Takeda
Engineering Technology Lead
Takeda

Event Features​

Networking & knowledge-sharing is at the heart of what we do. Alongside the innovative programme, attendees can engage in a variety of event features and make the most of participation in a range of on-site experiences.

Roundtables and Panel Discussions

Discussions on key industry growth areas within pharmaceutical IT, data science, and AI & automation.

Networking Drinks

Relax after a busy first day at the event with access to the vibrant drinks reception

Supported Digitally

Can't attend in-person? Our fully featured online platform runs alongside the event with a dedicated Digital Day to round off the conference after the two days on-site

Sponsorship

A range of customisable opportunities for lead generation, brand building and global business deals. Whether you’re looking to build business, product launch or increase visibility, we provide a variety of highly effective options to suit budget and requirement.

We produce cutting edge congresses and summits for the Life Sciences Industry, bringing together industry leaders and solution providers at a senior level, creating the opportunity to partner, network and knowledge share.

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Data Quality as a Service in R&D labs: Challenges & Opportunities for Digital Lab Assistants

available to download now!

Panellists include:
Mike Berke, Director, Research & Automation Technologies,
Amgen
Mario Richter, Director,
AbbVie
Dr. Célia Gasselin, Marketing Communication Manager,
LabTwin