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Ben Brown

dblp:42/1027 · DBLP profile ↗
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6ranked-venue papers
2as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 6 · 2 first-authorArtificial intelligence and machine learning · 4 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
3 papers
Legged, aerial and field robots · 80% Motion planning and robot control · 15% Planning, search and constraint satisfaction · 5%

Topics — the 11 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › bio-inspired robot
snake robot
0.112012
Design and architecture of the unified modular snake robot · ICRA 2012
Robotics › Legged, aerial and field robots
field robotics
0.012012
Design and architecture of the unified modular snake robot · ICRA 2012
Robotics › Legged, aerial and field robots › bio-inspired robot
snake robot locomotion
0.012012
Design and architecture of the unified modular snake robot · ICRA 2012
Robotics › Legged, aerial and field robots
hopping robot
0.021998
Control of a Bow Leg Hopping Robot · ICRA 1998
The Bow Leg Hopping Robot · ICRA 1998
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.021998
Control of a Bow Leg Hopping Robot · ICRA 1998
The Bow Leg Hopping Robot · ICRA 1998
Robotics › Motion planning and robot control › locomotion control › legged robot control
foot placement planning
0.011998
Control of a Bow Leg Hopping Robot · ICRA 1998
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › search-based planning
graph-based planning
0.011998
Control of a Bow Leg Hopping Robot · ICRA 1998
Robotics › Motion planning and robot control
motion planning
0.011998
Control of a Bow Leg Hopping Robot · ICRA 1998
Robotics › Motion planning and robot control
robot control
0.021998
Control of a Bow Leg Hopping Robot · ICRA 1998
The Bow Leg Hopping Robot · ICRA 1998
Robotics › Motion planning and robot control › robot control
feedback control
0.011998
Control of a Bow Leg Hopping Robot · ICRA 1998
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
hopping height control
0.011998
The Bow Leg Hopping Robot · ICRA 1998

Methods — techniques the papers use, named apart from their topics

modular actuator design · 0.1SMA wire actuated bistable brake · 0.1numerical physical model · 0.0leg-angle control · 0.0graph-search planning · 0.0feedback control · 0.0elastic energy storage · 0.0
YearPublicationVenuePosition
2014 Design and architecture of a series elastic snake robot
abstract
This paper details the design and architecture of a series elastic actuated snake robot, the SEA Snake. The robot consists of a series chain of 1-DOF modules that are capable of torque, velocity and position control. Additionally, each module includes a high-speed Ethernet communications bus, internal IMU, modular electro-mechanical interface, and ARM based on-board control electronics.
David Rollinson, Yigit Bilgen, Ben Brown, Florian Enner, Steven Ford, Curtis Layton, Justine Rembisz, Michael Schwerin, Andrew Willig, Pras Velagapudi, Howie Choset
IROS3
2012 Design and architecture of the unified modular snake robot
abstract
The design of a hyper-redundant serial-linkage snake robot is the focus of this paper. The snake, which consists of many fully enclosed actuators, incorporates a modular architecture. In our design, which we call the Unified Snake, we consider size, weight, power, and speed tradeoffs. Each module includes a motor and gear train, an SMA wire actuated bistable brake, custom electronics featuring several different sensors, and a custom intermodule connector. In addition to describing the Unified Snake modules, we also discuss the specialized head and tail modules on the robot and the software that coordinates the motion.
Cornell Wright III, Austin Buchan, Ben Brown, Jason Geist, Michael Schwerin, David Rollinson, Matthew Tesch, Howie Choset
ICRA3
1998 The Bow Leg Hopping Robot
abstract
The bow leg hopper is a novel locomotion design with a highly resilient leg that resembles an archer's bow. During the flight a "thrust" actuator adds elastic energy to the leg, which is automatically released during stance to control hopping height. Lateral motion is controlled by directing the leg angle at touchdown, which determines the angle of takeoff or reflection. The leg pivots freely on a hip bearing, and is automatically decoupled from the leg-angle positioner during stance to preclude hip torques that would disturb body attitude. Upright attitude is maintained without active control by allowing the body to "hang" from the hip joint. Preliminary experiments with a planar prototype have demonstrated impressive performance, high efficiency, and low power requirements. Current experiments are focused on developing control and planning schemes to enable locomotion over discrete "stepping stones" and obstacles.
Ben Brown, Garth Zeglin
ICRA1
1998 Control of a Bow Leg Hopping Robot
abstract
The bow leg hopper is a new design for a locomotion system with a resilient, flexible leg. It features a passive stance phase and natural pitch stability. It is controlled by actuators that configure the leg angle and stored leg energy during flight. During the stance, the actuators are mechanically decoupled from the leg and the stored energy is released. The trajectory is determined by the spring-mass physics and the state of the leg at impact. This design casts the controller as a function mapping three trajectory parameters to two control outputs once every hopping cycle. Our particular solution uses a combination of graph-search planning and feedback control. The planner searches the sequences of foot placements and computes control outputs using numerical solution of a physical model. The feedback control is computed once per bounce. Experimental data from a planar prototype are included demonstrating navigation of simple artificial terrain.
Ben Brown, Garth Zeglin
ICRA1
1998 The CAT-exact data transfer to DDS-generated clock domains in a single-chip modular solution
abstract
Mixed-signal testing requires exact synchronization between digital and analog clock domains. A unique ASIC, the CAT, has been developed to automate the vector handoff for analog instrument control and synchronization, while producing arbitrary precision analog clocks.
Robert Gage, Ben Brown
ITC2
1997 Hardware Compression Speeds on Bitmap Fail Display
abstract
A unique lossless data compression algorithm has been implemented into a Bitmap Display Processor. This scanner hardware will allow massive non-lossy compression of bitmap failure images on the order of 10000 to one. The capability should allow new opportunities for testing speed and qualities, with small file sizes and fast image updates.
Robert Gage, Ben Brown, John Donaldson, Alexander Joffe
ITC2