Towards flexible object-centric visual perception, we propose a one-shot...
The ability to envision future states is crucial to informed decision ma...
Large offline learning-based models have enabled robots to successfully
...
Without ground truth supervision, self-supervised depth estimation can b...
Solving the camera-to-robot pose is a fundamental requirement for
vision...
State estimation from measured data is crucial for robotic applications ...
Applications of rolling diaphragm transmissions for medical and teleoper...
Robots "in-the-wild" encounter and must traverse widely varying terrain,...
Accurate and robust tracking and reconstruction of the surgical scene is...
Autonomous suturing has been a long-sought-after goal for surgical robot...
Receiving knowledge, abiding by laws, and being aware of regulations are...
Robot manipulation of rope-like objects is an interesting problem that h...
Simulation modeling of robots, objects, and environments is the backbone...
In this work, we present a solution to the challenging problem of
recons...
Physicians perform minimally invasive percutaneous procedures under Comp...
Suture needle localization plays a crucial role towards autonomous sutur...
Innovations from surgical robotic research rarely translates to live sur...
Exploring and navigating in extreme environments, such as caves, oceans,...
This paper introduces Chance Constrained Gaussian Process-Motion Plannin...
Transformers have become the powerhouse of natural language processing a...
Robots will be expected to manipulate a wide variety of objects in compl...
Even though artificial muscles have gained popularity due to their compl...
Robot arm placements are oftentimes a limitation in surgical preoperativ...
Anytime a robot manipulator is controlled via visual feedback, the
trans...
Recent developments in surgical robotics have led to new advancements in...
Kinodynamic Motion Planning (KMP) is to find a robot motion subject to
c...
Regrasping a suture needle is an important process in suturing, and prev...
The control and task automation of robotic surgical system is very
chall...
Constrained motion planning is a challenging field of research, aiming f...
Autonomous robotic surgery has seen significant progression over the las...
Reliable real-time planning for robots is essential in today's rapidly
e...
The presence of task constraints imposes a significant challenge to moti...
Evaluating distance to collision for robot manipulators is useful for
as...
Kernel functions may be used in robotics for comparing different poses o...
Interventional Radiology (IR) enables earlier diagnosis and less invasiv...
This paper presents the design and performance of a screw-propelled redu...
Traditional control and task automation have been successfully demonstra...
This paper describes Motion Planning Networks (MPNet), a computationally...
Composition of elementary skills into complex behaviors to solve challen...
Fast and efficient path generation is critical for robots operating in
c...
This paper describes the design, manufacture, and performance of a highl...
Reinforcement Learning (RL) is a machine learning framework for artifici...
Robotic teleoperation brings great potential for advances within the fie...
Sampling-based Motion Planners (SMPs) have become increasingly popular a...
Surgical robots offer the exciting potential for remote telesurgery, but...
We consider a problem of learning a reward and policy from expert exampl...
Fast and efficient motion planning algorithms are crucial for many
state...