Stevens Institute of Technology
Private research university in Hoboken NJ, founded 1870; Robotics and Automation Lab researches autonomous mobile robots and multi-agent systems.
Stevens Institute of Technology is a private research university founded in 1870 in Hoboken, New Jersey, and is one of the oldest technological universities in the United States. It was the first American college solely dedicated to mechanical engineering. Today Stevens offers undergraduate, graduate, and doctoral programs across engineering, science, computer science, business, and the arts.
In robotics and automation, the university hosts the Robotics and Automation Laboratory (RAL), established in 2005, which conducts research in autonomous mobile robots, multi-agent systems, cooperative mobility, and control system synthesis for robotics. Research spans autonomous ground vehicles, swarm robotics, human-robot interaction, and navigation algorithms. Stevens has also established a School of Computing to advance AI and technology education.
The university's engineering programs are highly ranked nationally, and it maintains strong industry partnerships for applied research. Stevens enrolls approximately 8,000 students (undergraduate and graduate combined) and employs several hundred faculty. Its campus overlooks the Hudson River and New York City skyline.
Stevens is accredited by the Middle States Commission on Higher Education and its engineering programs are ABET-accredited.
Primary type & automation activities this supplier delivers:
Contact Stevens Institute of Technology
WEBSITE
https://www.stevens.eduPHONE
+1 201-216-5000HEADQUARTERS
United States
Company Facts
Founded
1870
Primary Role
Research Institute
Company Size
employees 2000-5000
Primary Region
North America
Annual Sales
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Funding Stage
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Funding Total
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Certifications & Memberships
Challenges in Humanoid Robotics: Balancing AI and Hardware Limitations
Andreas Friedrich, Managing Director of Technology & Strategy at Allegro MicroSystems, will present at RoboBusiness on October 20-21 in Santa Clara, focusing on advancements in robotic actuation technology. As humanoid robots evolve, accommodating the necessary hardware for movement becomes increasingly complex due to stringent size and weight constraints. The integration of artificial intelligence has enhanced humanoid robots' ability to perceive their environment and make decisions. However, translating these decisions into smooth and safe physical actions poses significant engineering challenges, especially as these robots transition from prototypes to operational machines that work alongside humans. The ongoing development of AI is crucial, but the physical limitations of humanoid robots will ultimately dictate how effectively this intelligence can be utilized. The shift towards higher voltage power architectures in humanoids illustrates the intricate relationship between electrical and mechanical design, highlighting the need for innovative solutions to overcome these challenges.
Artificial Intelligence / Cognition Design / Development Humanoids News
Productive Robotics Launches Tregaskiss Tough Gun I.C.E. Torch for Blaze Welding Systems
Productive Robotics has unveiled the Tregaskiss Tough Gun I.C.E. (Integrated Cooling Enhancer) torch, designed specifically for its 7-axis Blaze robotic welding systems. This new option aims to mitigate heat-related consumable failures that can occur during automated welding processes with high duty cycles. The introduction of the I.C.E. torch is significant as it addresses a common challenge in robotic welding—overheating of consumables. By enhancing cooling capabilities, Productive Robotics aims to improve the reliability and efficiency of its Blaze systems, which are increasingly utilized in demanding industrial applications. Looking ahead, the adoption of the Tregaskiss Tough Gun I.C.E. torch could lead to broader implementation of Productive Robotics' solutions in sectors requiring robust welding capabilities. No further timeline was disclosed at the time of publication.
China Achieves First AI-Guided Surgery for Congenital Heart Disease Using Intelligent Robotics
Recently, a medical team in China completed the world's first AI ultrasound robot-assisted interventional procedure for congenital heart disease. Conducted by the Cardiovascular Medicine Department of the Sixth Medical Center of the PLA General Hospital, this surgery marks a significant milestone in the clinical application of intelligent technology in healthcare. This breakthrough is crucial as it signifies the integration of artificial intelligence into one of the most critical aspects of surgical procedures: interpreting images, assessing positions, and aiding doctors in formulating operational plans. Traditionally, cardiovascular interventions heavily relied on physician experience, particularly in complex cases where accurate understanding of heart structure changes is essential. Looking ahead, the focus may shift from merely achieving higher precision with robotic arms to whether robots can comprehend medical images, analyze patient conditions, and adapt strategies in real-time. The integration of AI models, medical imaging, and robotic control systems will be vital for advancing surgical capabilities, especially in areas lacking experienced specialists.
AI in Healthcare Surgical Robotics Medical Imaging Cardiovascular Surgery
Challenges in Implementing Predictive Maintenance for Robot Fleets
Many predictive maintenance initiatives in robotics face a common hurdle: after installing sensors and training models, progress often halts. The anomaly score generated by these systems does not equate to actionable decisions, leading to a gap in the maintenance process. Without a technician assigned, confirmation of spare parts availability, and scheduling for repairs, the potential benefits of predictive maintenance remain unrealized. This issue is significant as it highlights the limitations of current predictive maintenance strategies in robotics. The inability to transition from data insights to actionable work orders can lead to increased downtime and inefficiencies in robot fleet management. Organizations investing in predictive maintenance technologies must address these operational challenges to fully leverage their investments and enhance productivity. Looking ahead, it will be crucial for companies to develop streamlined processes that connect predictive maintenance insights with practical maintenance actions. No further timeline was disclosed at the time of publication, but advancements in this area could lead to more effective management of robotic systems and improved operational efficiency.
Artificial Intelligence Computing Factories Internet asset management condition monitoring
Pressure Sensors Enhance Robotic Gripping Accuracy and Interaction Control
The integration of pressure sensors into robotic grippers, such as the UMI gripper from XELA Robotics, significantly improves gripping accuracy. Unlike traditional methods that rely solely on motor current and position, pressure sensors provide critical real-time data on contact interactions, enabling better control during gripping tasks. This advancement is particularly crucial in industrial applications like bin picking and mixed-part handling, where the nature of contact can vary widely. By measuring distributed mechanical stress at the contact interface, pressure sensors allow for a nuanced understanding of how different materials respond to gripping forces, thus enhancing the reliability of robotic operations. Looking ahead, the continued development of pressure sensing technology in robotic systems will likely lead to more sophisticated interaction controls. No further timeline was disclosed at the time of publication.
End Effectors / Grippers Grippers Human Robot Interaction / Haptics News Sensors / Sensing Systems
AI Framework PACMAN Enables Rapid Control of Fusion Plasma at Princeton Lab
Researchers at the U.S. Department of Energy's Princeton Plasma Physics Laboratory and Princeton University have developed PACMAN, an AI software framework that controls fusion plasma faster than human operators can react. This innovation is crucial as fusion systems can experience instabilities in mere milliseconds, making human intervention impractical. The PACMAN framework allows for real-time decision-making while ensuring safety protocols are upheld, with human operators setting the system's objectives. This capability is vital for maintaining the stability of fusion reactions, which rely on precise adjustments to heating equipment and magnetic fields to keep plasma conditions optimal. The initial tests of PACMAN were conducted in five experiments, demonstrating its effectiveness in managing fusion plasma. As researchers continue to explore practical fusion energy solutions, the integration of multiple AI models within PACMAN represents a significant advancement in the field. No further timeline was disclosed at the time of publication.
Exploring the Role of FPGAs in Enhancing Physical AI Security
In Episode 260 of The Robot Report Podcast, Eric Sivertson, vice president of security at Lattice Semiconductor, discusses the significance of FPGAs in physical AI security. He highlights how these field-programmable gate arrays are crucial for building safe and secure robots, emphasizing their role in enhancing trust in embedded systems. The conversation underscores the growing importance of security in robotics, particularly as the industry shifts towards more advanced AI applications. Sivertson's extensive experience in developing technologies for security and connectivity positions him to provide valuable insights into the challenges and opportunities within this sector. Listeners should pay attention to the evolving landscape of physical AI security and the potential for FPGAs to serve as foundational elements in safeguarding robotic systems. No further timeline was disclosed at the time of publication.
Artificial Intelligence Autonomous Mobile Robots (AMRs) Humanoids Manufacturing Markets / Industries Microprocessors / SoC
iRobot Introduces the Roomba Duo, a Dual Robot Vacuum Concept
iRobot unveiled the Roomba Duo at the IFA tech show in Berlin, showcasing a concept that integrates a heavy-duty floor-washing machine with a smaller Roomba vacuum. The Duo features a mechanical arm that lowers the smaller unit for cleaning tight spaces, while the main unit handles larger areas with advanced navigation capabilities. This innovation is significant as it combines multiple cleaning functionalities into one device, potentially simplifying home cleaning for consumers. iRobot's Adam Pope emphasized that the main vacuum is the most powerful the company has produced, comparable to traditional upright vacuums, and can effectively handle solid messes while also steaming floors. As a concept product, the Roomba Duo lacks a price and release date, with ongoing development based on user feedback. Observers should watch for updates on its specifications and market readiness, as the device aims to redefine floor care in homes, despite concerns about its long-term durability.
IFA 2026 News Robot Smart Home Tech
Can Improved Hydraulic Systems Propel Humanoid Robots Towards Greater Versatility?
The humanoid robot industry faces a paradox: the pursuit of versatility necessitates specialized power solutions. Tesla's Optimus, Figure AI's tests at BMW, and Agility Robotics' Digit at Amazon showcase advancements but reveal structural weaknesses in execution. Issues like insufficient power, range anxiety, and adaptability to extreme environments remain unresolved. Experts, including Zhang Jianwei and Wang Jian, emphasize that the fundamental challenges lie in the physical properties of materials used in motors, which are limited by cost and efficiency. They argue that hydraulic systems, often deemed 'non-scientific' due to their complexity, could redefine actuator capabilities if the basic problems are solved. The economic paradox of traditional robotic actuators is highlighted by the high integration costs associated with systems like Boston Dynamics' Atlas. As the humanoid robot sector evolves, it inherits the complexities of traditional hydraulic systems, which require numerous sensors and intricate control networks. The real question is not whether hydraulics can provide power, but whether that power can be easily harnessed by robots. ClearZhu Power aims to address this challenge with its digital hydraulic technology.
Hydraulic Systems Humanoid Robots Robotics Technology Automation
Reinforcement Learning: An Introduction Richard S. Sutton & Andrew G. Barto — RSF Specialist Shelf · Book S5 of 6
“It's the AI” will not satisfy an OEM support call. Sutton & Barto turn that into something a service engineer can investigate. Free PDF, Part I 4/5.
Planning Algorithms Steven M. LaValle — RSF Specialist Shelf · Book S4 of 6
The reference that treats planning as a subject in its own right: configuration space, sampling-based methods, RRT. Free online, dual difficulty 4/5-2/5.
Handbook of Marine Craft Hydrodynamics and Motion Control Thor I. Fossen — RSF Specialist Shelf · Book S1 of 6
Added mass, wave loading, DVL navigation: the marine GNC reference for USV, ROV and AUV service engineers. The hardest book on the RSF list, 5/5.
Small Unmanned Aircraft: Theory and Practice Beard & McLain — RSF Specialist Shelf · Book S2 of 6
Beard & McLain derive the fixed-wing autopilot the RSF Top 10 never does: successive loop closure on roll, pitch, altitude and airspeed. 4/5.
Underactuated Robotics Russ Tedrake — RSF Specialist Shelf · Book S3 of 6
Legged robots fall over for control reasons, not mechanical ones. Tedrake's free MIT 6.832 notes explain why, and what a controller must do about it.
Robotics: Modelling, Planning and Control Siciliano, Sciavicco, Villani & Oriolo — RSF Specialist Shelf · Book S6 of 6
Siciliano's single-narrative counterpart to the Springer Handbook: kinematics through force control and visual servoing in one consistent notation. 4/5.
Introduction to Robotics J. J. Craig — RSF Top 10 Robot Education Textbooks · No. 6
Six of ten benchmark universities teach kinematics from Craig. Frames, transforms and D-H parameters: the language vendor manuals already speak.
Probabilistic Robotics Thrun, Burgard & Fox — RSF Top 10 Robot Education Textbooks · No. 7
An AMR that lost localization broke nothing you can touch. Thrun explains Layer 4 faults: belief, Bayes filters, SLAM. Budget 12-15 hours.
Modern Robotics K. M. Lynch & F. C. Park — RSF Top 10 Robot Education Textbooks · No. 8
The book the field agreed to make free: full preprint PDF, video lectures and open code from the authors. Screw theory and kinematics, taught rigorously.
ITIL Foundation: ITIL 4 Edition PeopleCert — RSF Top 10 Robot Education Textbooks · No. 2
ITIL Foundation: ITIL 4 Edition (AXELOS / TSO) — RSF Top 10 Robot Education Textbooks, Book 2: IT Service Management
QuadBoat: A Spider-Inspired Robotic Boat for Water Rescue Operations
Researchers at the Shenzhen Institute of Artificial Intelligence and Robotics for Society and Stevens Institute of Technology have developed QuadBoat, a four-legged robotic boat designed to track and retrieve individuals from water. Unlike traditional unmanned surface vehicles, QuadBoat can physically extract victims, addressing a critical gap in maritime rescue operations. The significance of QuadBoat lies in its innovative design, inspired by fishing spiders, which allows it to maneuver effectively on water. The robot employs a unique combination of buoyancy and leg propulsion, enabling it to adapt its posture for optimal movement. This capability is crucial for rescue missions, where swift extraction from water can be life-saving. Future developments to watch include the potential deployment of QuadBoat in emergency scenarios such as boat crashes. The robot's advanced tracking and retrieval capabilities could enhance the efficiency of rescue teams, particularly in challenging conditions where traditional vehicles may falter. No further timeline was disclosed at the time of publication.
AI and Robotics
