Title: Autonomous Mobile Manipulator Robots (AMMR) Market: Strategic Launches
1Autonomous Mobile Manipulator Robots (AMMR)
Market Strategic Launches In todays era of mass
customization, enterprises operating within the
high mix low volume (HMLV) production model
must embrace adaptable manufacturing systems to
thrive. As demand for customized offerings
continues to rise, conventional industrial robots
may prove inadequate due to their rigidity and
the considerable expenses involved in
reconfiguration for diverse tasks. An effective
alternative lies in leveraging mobile
manipulators, which integrate autonomous mobile
robots (AMR) with agile collaborative robot arms
(cobots). As per Inkwood Research, the global
autonomous mobile manipulator robots (AMMR)
market is set to garner a revenue of
3071.73 million by 2032 and register a CAGR of
23.42 during 2024-2032.
Furthermore, the demand for mobile manipulator
robots is fueled by the necessity for
manufacturing to swiftly adapt to evolving
environmental and technological factors. This
entails efficient reconfiguration and frequent
modification of system components. Positioned as
a viable recourse for individuals who have
struggled fruitlessly with traditional weight
loss methods, bariatric surgery holds promise for
transformative outcomes. With time, the emergence
of laparoscopy and robotics in bariatric surgery
has markedly reduced complications and
shortened hospital stays.
2- Request a FREE sample of the Autonomous Mobile
Manipulator Robots (AMMR) Market - This blog enlists the recent strategic launches
and developments in the global autonomous mobile
manipulator robots (AMMR) market. - Global Autonomous Mobile Manipulator Robots
(AMMR) Market Strategic Launches - Collaborative Robotics Closes its Series B
Funding at 100 Million - On 10th April 2024, Collaborative Robotics, also
known as Cobot, announced the successful closure
of its Series B funding round, securing 100
million for the commercialization of its
autonomous mobile manipulator. This round was led
by General Catalyst and included participation
from Bison Ventures, Industry Ventures, and Lux
Capital. Notably, existing investors such as
Sequoia Capital, Khosla Ventures, Mayo Clinic,
Neo, 1984 Ventures, MVP Ventures, and Calibrate
Ventures also contributed, bringing the total
funding raised to over 140 million in less than
two years. - Additionally, Cobot welcomed industry leader
Teresa Carlson as an Advisor. - Headquartered in Santa Clara, California, Cobot
is focused on developing autonomous mobile
manipulators that can efficiently and safely
collaborate with human workers across various
manufacturing, supply chain, and healthcare
settings. This addresses the same tasks that
humanoid robots are currently being positioned
for. - Founded in 2022 by Brad Porter, a distinguished
engineer and the former Amazon VP of Robotics,
the Cobot team comprises experts in robotics and
AI from leading companies such - as Amazon, Apple, Meta, Google, Microsoft, NASA,
and Waymo. The fresh - capital injection will facilitate team expansion
with top-tier talent and drive forward commercial
deployment efforts. Notably, Paul Kwan, Managing
Director at General Catalyst, will join Alfred
Lin from Sequoia Capital on Collaborative
Robotics Board of Directors. - Says Brad Porter, CEO and founder of
Collaborative Robotics, Getting our first robots
in the field earlier this year, coupled with
todays investment, are major milestones as we
bring cobots with human-level capability into the
industries of today. We see a virtuous cycle
where more robots in the field lead to improved
AI and a more cost-effective supply chain. This
funding will help us accelerate getting more
robots into the real world. (Source)
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3- PAL Robotics Latest Launch is A Mobile
Manipulator with Sophisticated Human-Robot
Interaction Capabilities - From 29th May to 2nd June 2023, PAL Robotics
unveiled the TIAGo Pro Edition robot at ICRA
2023, held at ExCeL London. This advanced robot
boasts torque-controllable arms capable of
reaching objects on various surfaces, including
floors and high shelves, accredited to its
enhanced mobile manipulation capabilities.
Equipped with cutting-edge features such as a
touchscreen face, facial recognition,
multilingual speech capabilities, and a chatbot,
the TIAGo Pro Edition also offers omnidirectional
movement, including side-to-side motion. - Incorporating ROS 2 compatibility, PAL Robotics
has enriched the robots expressiveness, enabling
users to generate a spectrum of eye expressions
ranging from happiness to skepticismand
seamlessly direct the robots gaze and eye
movements in a natural manner. Furthermore, the
robot excels in facial and skeletal recognition,
featuring state-of-the-art offline speech
recognition in over 20 languages, along with an
advanced chatbot engine. - Derived from the acclaimed TIAGo robot initially
developed by PAL Robotics in 2015, the TIAGo Pro
Edition represents the latest evolution in
robotic technology. Positioned as the newest
addition to the TIAGo - robot family, which includes customizable
variants with one or two arms and/or a
touchscreen interface, the TIAGo Pro Edition
builds upon its predecessors - success as a preferred platform for robotics
research in European universities and research
institutions. - PAL Robotics actively participates in various
research initiatives within the European Union,
including AGIMUS (focused on robots supporting
humans in agile manufacturing) and CANOPIES
(aimed at robots collaborating with humans in
vineyards). These projects will serve as early
adopters, leveraging the advanced capabilities of
the TIAGo Pro Edition to drive innovation and
efficiency in their respective domains. (Source) - Autonomous Mobile Manipulator Robot Market (AMMR)
Future There is Scope for Improvement - Autonomous mobile manipulator robots represent a
recent advancement in the robotics sector,
combining the manipulation capabilities of a
robotic arm with - the mobility features of a mobile platform. This
innovative system expands the reach and
functionality of manipulators, opening doors to
automate tasks - previously carried out manually. Despite its
potential benefits, integrating these - systems entails complexity, substantial upfront
costs, and unresolved safety and security
concerns, which currently limit their adoption
primarily to the
manufacturing industry.
4- For example, at Grundfos in Sweden, the omniRob
robot efficiently navigates the shop floor to
retrieve parts and delivers them to the Little
Helper robot for assembly. Utilizing a press and
performing quality control checks through image
capture, the Little Helper robot ensures precise
assembly. - Subsequently, the finished rotor is placed in a
small load carrier and - transported back to the warehouse by the omniRob.
This specific use case, named TAPAS, demands the
mobile manipulator to navigate autonomously
without the need for markers while efficiently
managing dynamic obstacles. Opportunities for
enhancement exist in optimizing behavior for
long-distance travel, maneuvering in confined
spaces, and determining optimal approach
trajectories for endpoints. - Small and medium-sized enterprises (SMEs) face
particular challenges in adopting mobile
manipulator technology due to limited resources.
However, these systems offer significant
potential to enhance competitiveness and
profitability across various industries. Such
aspects will direct the global autonomous mobile
manipulator robots (AMMR) market. - Cant find what youre looking for? Talk to an
expert NOW! FAQs - What are the main benefits of implementing
Autonomous Mobile - Manipulator Robots (AMMRs) in industrial
settings? - A Implementing AMMRs in industrial settings
offers a range of benefits. Firstly, they
enhance operational efficiency by performing
tasks autonomously, reducing the need for manual
labor and minimizing errors. Secondly, AMMRs can
adapt to changing production demands quickly,
allowing businesses to be more agile and
responsive. - How do Autonomous Mobile Manipulator Robots
(AMMRs) integrate into existing manufacturing
systems? - A Integrating AMMRs into existing manufacturing
systems is a flexible and customizable process.
Typically, AMMRs are equipped with sensors and AI - algorithms that enable them to navigate and
interact with their environment safely. They can
be programmed to perform specific tasks
autonomously or - controlled remotely by operators.