Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Motion planning algorithms for molecular simulations: A survey
Motion planning is a fundamental problem in robotics that has motivated research since
more than three decades ago. A large variety of algorithms have been proposed to compute …
more than three decades ago. A large variety of algorithms have been proposed to compute …
Task space regions: A framework for pose-constrained manipulation planning
We present a manipulation planning framework that allows robots to plan in the presence of
constraints on end-effector pose, as well as other common constraints. The framework has …
constraints on end-effector pose, as well as other common constraints. The framework has …
Dynamic-domain RRTs: Efficient exploration by controlling the sampling domain
Sampling-based planners have solved difficult problems in many applications of motion
planning in recent years. In particular, techniques based on the Rapidly-exploring Random …
planning in recent years. In particular, techniques based on the Rapidly-exploring Random …
dRRT*: Scalable and informed asymptotically-optimal multi-robot motion planning
Many exciting robotic applications require multiple robots with many degrees of freedom,
such as manipulators, to coordinate their motion in a shared workspace. Discovering high …
such as manipulators, to coordinate their motion in a shared workspace. Discovering high …
Path planning under kinematic constraints by rapidly exploring manifolds
The situation arising in path planning under kinematic constraints, where the valid
configurations define a manifold embedded in the joint ambient space, can be seen as a …
configurations define a manifold embedded in the joint ambient space, can be seen as a …
Randomized multi-modal motion planning for a humanoid robot manipulation task
Robots that perform complex manipulation tasks must be able to generate strategies that
make and break contact with the object. This requires reasoning in a motion space with a …
make and break contact with the object. This requires reasoning in a motion space with a …
Reachability-guided sampling for planning under differential constraints
Rapidly-exploring random trees (RRTs) are widely used to solve large planning problems
where the scope prohibits the feasibility of deterministic solvers, but the efficiency of these …
where the scope prohibits the feasibility of deterministic solvers, but the efficiency of these …
Multi-modal motion planning in non-expansive spaces
Motion planning problems encountered in manipulation and legged locomotion have a
distinctive multi-modal structure, where the space of feasible configurations consists of …
distinctive multi-modal structure, where the space of feasible configurations consists of …
Herb 2.0: Lessons learned from develo** a mobile manipulator for the home
We present the hardware design, software architecture, and core algorithms of Herb 2.0, a
bimanual mobile manipulator developed at the Personal Robotics Lab at Carnegie Mellon …
bimanual mobile manipulator developed at the Personal Robotics Lab at Carnegie Mellon …
Adaptive tuning of the sampling domain for dynamic-domain RRTs
Sampling based planners have become increasingly efficient in solving the problems of
classical motion planning and its applications. In particular, techniques based on the rapidly …
classical motion planning and its applications. In particular, techniques based on the rapidly …