Wireless power beaming may keep military drones flying longer with fewer battery swaps ⁠12%

By Aamir Khollam⁠65%

8/4/2026, 4:41:33 PM

BS Summary: This article contains 19 faulty reasoning types, including Appeal to Authority, Framing Effect, and Availability Heuristic, with Optimism Bias as the most egregious example at 35.5% saturation with 194 hits. Analysis detected 820 faulty-reasoning hits from 547 analyzed words, generating a BS Score of 22.5% and a BS Rank of ⁠12% (25,166 of 28,475 articles). This article is better (less manipulative) than 88.40% of the article peer group.

Small drones often face one unavoidable limitation of battery power. 
That challenge now sits at the center of a new Air Force-backed research effort that could allow unmanned aircraft to remain deployed for much longer without returning for a recharge. 
Reach Power and the University of Nebraska-Lincoln’s NIMBUS Lab have secured a Small Business Technology Transfer (STTR) Phase I contract through AFWERX to study wireless power for perched drones. 
The project will examine whether remotely delivered energy can keep drones operating as persistent communications and intelligence, surveillance, and reconnaissance (ISR) nodes during military missions. 
If successful, the approach could reduce battery swaps, extend operational endurance, and simplify logistics for deployed forces. 
Keeping drones on station 
Unlike conventional drones that must frequently land to recharge or replace batteries, perched drones are designed to remain fixed in one location while carrying out observation or communications tasks. 
Researchers now want to determine whether wireless power transmission can keep those systems active for significantly longer periods. 
The project combines Reach Power’s wireless power-beaming technology with the University of Nebraska-Lincoln’s expertise in autonomous systems, robotics, and communications. 
Engineers will evaluate how the concept performs in scenarios where continuous connectivity and persistent sensing are essential. 
Chris Davlantes, founder and CEO of Reach Power, said reliable energy remains one of the biggest requirements for long-duration autonomous systems. 
“Wireless power could allow small unmanned systems to stay in position longer and support communications and ISR missions,” Davlantes said . 
He added that reducing battery replacement and recovery cycles could lower the operational burden on military personnel while helping warfighters maintain connectivity and situational awareness in contested environments. 
AFWERX expands defense innovation 
The research is funded through the Department of the Air Force’s Open Topic SBIR/STTR program, an initiative launched in 2018 to bring more commercial innovation into defense programs. 
AFWERX and the Air Force Research Laboratory created the program to accelerate contract awards for startups and research institutions. 
The effort also reduces administrative hurdles that traditionally slow government procurement, allowing smaller companies to move promising technologies toward military applications more quickly. 
Phase I contracts focus on proving the technical feasibility of a concept before teams compete for larger follow-on awards that support prototype development and testing. 
Wireless power has attracted growing interest across the defense sector because it offers a potential way to sustain sensors, communications equipment, and autonomous platforms without relying solely on onboard batteries. 
Research partnership takes shape 
The University of Nebraska-Lincoln’s NIMBUS Lab will contribute expertise in autonomous systems, field robotics, and intelligent machine research as the project moves forward. 
Lab director Dr. 
Brittany Duncan said the collaboration brings together complementary capabilities to evaluate whether perched drones can function as reconfigurable mission nodes for communications and sensing. 
“Our goal is to evaluate how perched drones can support persistent communications and sensing,” Duncan said. 
She added that the research aligns with the lab’s broader mission of advancing technologies that support national security, scientific discovery, and operational resilience. 
The study will determine whether wireless power can become a practical tool for keeping small drones in place during extended operations. 
A successful outcome could eventually reduce downtime, improve battlefield communications, and expand how the military uses unmanned aircraft for persistent ISR missions. 
Article reasoning-pattern comparisonThis article: 0.0%Aamir Khollam: 2.2%Interesting Engineering: 3.1%Confirmation Bias0.0%This article: 0.0%Aamir Khollam: 1.6%Interesting Engineering: 1.0%Anchoring Bias0.0%This article: 9.3%Aamir Khollam: 1.4%Interesting Engineering: 2.0%Availability Heuristic9.3%This article: 5.3%Aamir Khollam: 1.2%Interesting Engineering: 1.0%Representativeness Heuristic5.3%This article: 0.0%Aamir Khollam: 0.3%Interesting Engineering: 0.2%Hindsight Bias0.0%This article: 0.0%Aamir Khollam: 2.2%Interesting Engineering: 4.1%Overconfidence Bias0.0%This article: 11.2%Aamir Khollam: 5.7%Interesting Engineering: 5.5%Framing Effect11.2%This article: 0.0%Aamir Khollam: 0.2%Interesting Engineering: 0.1%Loss Aversion0.0%This article: 5.1%Aamir Khollam: 0.7%Interesting Engineering: 0.6%Status Quo Bias5.1%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.4%Sunk Cost Effect0.0%This article: 35.5%Aamir Khollam: 21.2%Interesting Engineering: 15.0%Optimism Bias35.5%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.4%Pessimism Bias0.0%This article: 4.2%Aamir Khollam: 0.4%Interesting Engineering: 1.0%Negativity Bias4.2%This article: 5.1%Aamir Khollam: 3.9%Interesting Engineering: 3.8%Self-Serving Bias5.1%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.1%Fundamental Attribution Error0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Actor-Observer Bias0.0%This article: 0.0%Aamir Khollam: 0.3%Interesting Engineering: 0.8%In-Group Bias0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Out-Group Homogeneity Bias0.0%This article: 4.4%Aamir Khollam: 3.1%Interesting Engineering: 4.2%Halo Effect4.4%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Horn Effect0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Aamir Khollam: 0.7%Interesting Engineering: 0.8%Recency Bias0.0%This article: 0.0%Aamir Khollam: 0.3%Interesting Engineering: 0.2%Primacy Effect0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Blind-Spot Bias0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Ad Hominem0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Straw Man0.0%This article: 22.3%Aamir Khollam: 5.6%Interesting Engineering: 6.9%Appeal to Authority22.3%This article: 0.0%Aamir Khollam: 0.9%Interesting Engineering: 1.2%False Dilemma0.0%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.4%Slippery Slope0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.1%Circular Reasoning0.0%This article: 1.8%Aamir Khollam: 3.5%Interesting Engineering: 4.0%Hasty Generalization1.8%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.1%Red Herring0.0%This article: 5.5%Aamir Khollam: 0.4%Interesting Engineering: 0.7%Bandwagon5.5%This article: 4.2%Aamir Khollam: 1.4%Interesting Engineering: 1.8%Appeal to Emotion4.2%This article: 5.5%Aamir Khollam: 0.5%Interesting Engineering: 0.9%Begging the Question5.5%This article: 4.2%Aamir Khollam: 1.5%Interesting Engineering: 1.8%Post Hoc (False Cause)4.2%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Tu Quoque0.0%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.4%Burden of Proof0.0%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.2%Appeal to Nature0.0%This article: 0.0%Aamir Khollam: 0.5%Interesting Engineering: 0.3%Composition/Division0.0%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.5%Anecdotal0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%No True Scotsman0.0%This article: 8.2%Aamir Khollam: 1.2%Interesting Engineering: 1.9%Ambiguity (Equivocation)8.2%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Middle Ground0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Personal Incredulity0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.1%Special Pleading0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Genetic Fallacy0.0%This article: 6.8%Aamir Khollam: 0.9%Interesting Engineering: 1.4%Unattributed Quote6.8%This article: 3.8%Aamir Khollam: 0.6%Interesting Engineering: 0.6%Quote-first Misdirection3.8%This article: 2.4%Aamir Khollam: 2.3%Interesting Engineering: 3.2%Biased Writer Voice2.4%This article: 0.0%Aamir Khollam: 0.2%Interesting Engineering: 0.6%Indoctrination0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.1%Politically Right Leaning Bias0.0%This article: 5.1%Aamir Khollam: 7.1%Interesting Engineering: 9.0%Attempt to Sell a Product or S…5.1%

547 words analyzed.

Speakers

4speakers34%attributed speech362writer words
Selected voice

Chris Davlantes

100%flagged-word coverage
70 attributed words38% of attributed speech79% writer coverage
0%20.0%40.0%Attempt to Sell a Product +40.0 ptsWriter: 0.0%Chris Davlantes: 40.0%40.0%Unattributed Quote+30.0 ptsWriter: 0.0%Chris Davlantes: 30.0%30.0%Quote-first Misdirection+30.0 ptsWriter: 0.0%Chris Davlantes: 30.0%30.0%Biased Writer Voice-3.6 ptsWriter: 3.6%Chris Davlantes: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.