Anytime search algorithms are useful for planning problems where a solut...
We are interested in pick-and-place style robot manipulation tasks in
cl...
Real-world manipulation problems in heavy clutter require robots to reas...
Graph search planning algorithms for navigation typically rely heavily o...
Parallel search algorithms have been shown to improve planning speed by
...
Robots often have to perform manipulation tasks in close proximity to pe...
Operating under real world conditions is challenging due to the possibil...
Heuristic search has traditionally relied on hand-crafted or programmati...
Conflict-Based Search (CBS) is a popular multi-agent path finding (MAPF)...
We consider the problem of completing a set of n tasks with a human-robo...
Parallel search algorithms harness the multithreading capability of mode...
This work addresses the Multi-Objective Shortest Path Problem (MO-SPP): ...
Iterative learning control (ILC) is a powerful technique for high perfor...
Heuristic search-based motion planning algorithms typically discretise t...
Search-based techniques have shown great success in motion planning prob...
In this work we tackle the path planning problem for a 21-dimensional sn...
Lazy search algorithms have been developed to efficiently solve planning...
We present how we formalize the waiting tables task in a restaurant as a...
Paths planned over grids can often be suboptimal in an Euclidean space a...
We present the theoretical analysis and proofs of a recently developed
a...
Robot manipulation in cluttered scenes often requires contact-rich
inter...
Quadrotors can achieve aggressive flight by tracking complex maneuvers a...
In warehouse and manufacturing environments, manipulation platforms are
...
In many applications, including logistics and manufacturing, robot
manip...
Zero-shot execution of unseen robotic tasks is an important problem in
r...
Path planning for robotic coverage is the task of determining a
collisio...
Given access to accurate dynamical models, modern planning approaches ar...
Pose estimation of known objects is fundamental to tasks such as robotic...
Heuristic search-based planning techniques are commonly used for motion
...
In warehousing and manufacturing environments, manipulation platforms ar...
Use of physics-based simulation as a planning model enables a planner to...
Models used in modern planning problems to simulate outcomes of real wor...
We consider the task of autonomously unloading boxes from trucks using a...
Traditional planning and control methods could fail to find a feasible
t...
Planning for multi-robot coverage seeks to determine collision-free path...
In manufacturing and automation settings, robots often have to perform
h...
In this work, we present an approach to planning for humanoid mobility.
...
Planning the motion for humanoid robots is a computationally-complex tas...
We consider the problem of planning a collision-free path for a
high-dim...
In many robotic domains such as flexible automated manufacturing or pers...